# The contents of this file are automatically written by # tools/generate_schema_wrapper.py. Do not modify directly. # These errors need to be ignored as they come from the overload methods # which trigger two kind of errors in mypy: # * all of them do not have an implementation in this file # * some of them are the only overload methods -> overloads usually only make # sense if there are multiple ones # However, we need these overloads due to how the propertysetter works # mypy: disable-error-code="no-overload-impl, empty-body, misc" from __future__ import annotations from typing import TYPE_CHECKING, Any, Literal, Sequence, TypedDict, Union, overload from typing_extensions import TypeAlias import narwhals.stable.v1 as nw from altair.utils import infer_encoding_types as _infer_encoding_types from altair.utils import parse_shorthand from altair.utils.schemapi import Undefined, with_property_setters from . import core from ._typing import * # noqa: F403 # ruff: noqa: F405 if TYPE_CHECKING: from typing_extensions import Self from altair import Parameter, SchemaBase from altair.typing import Optional __all__ = [ "X2", "Y2", "Angle", "AngleDatum", "AngleValue", "Color", "ColorDatum", "ColorValue", "Column", "DatumChannelMixin", "Description", "DescriptionValue", "Detail", "Facet", "FieldChannelMixin", "Fill", "FillDatum", "FillOpacity", "FillOpacityDatum", "FillOpacityValue", "FillValue", "Href", "HrefValue", "Key", "Latitude", "Latitude2", "Latitude2Datum", "Latitude2Value", "LatitudeDatum", "Longitude", "Longitude2", "Longitude2Datum", "Longitude2Value", "LongitudeDatum", "Opacity", "OpacityDatum", "OpacityValue", "Order", "OrderValue", "Radius", "Radius2", "Radius2Datum", "Radius2Value", "RadiusDatum", "RadiusValue", "Row", "Shape", "ShapeDatum", "ShapeValue", "Size", "SizeDatum", "SizeValue", "Stroke", "StrokeDash", "StrokeDashDatum", "StrokeDashValue", "StrokeDatum", "StrokeOpacity", "StrokeOpacityDatum", "StrokeOpacityValue", "StrokeValue", "StrokeWidth", "StrokeWidthDatum", "StrokeWidthValue", "Text", "TextDatum", "TextValue", "Theta", "Theta2", "Theta2Datum", "Theta2Value", "ThetaDatum", "ThetaValue", "Tooltip", "TooltipValue", "Url", "UrlValue", "ValueChannelMixin", "X", "X2Datum", "X2Value", "XDatum", "XError", "XError2", "XError2Value", "XErrorValue", "XOffset", "XOffsetDatum", "XOffsetValue", "XValue", "Y", "Y2Datum", "Y2Value", "YDatum", "YError", "YError2", "YError2Value", "YErrorValue", "YOffset", "YOffsetDatum", "YOffsetValue", "YValue", "with_property_setters", ] class FieldChannelMixin: _encoding_name: str def to_dict( self, validate: bool = True, ignore: list[str] | None = None, context: dict[str, Any] | None = None, ) -> dict | list[dict]: context = context or {} ignore = ignore or [] shorthand = self._get("shorthand") # type: ignore[attr-defined] field = self._get("field") # type: ignore[attr-defined] if shorthand is not Undefined and field is not Undefined: msg = f"{self.__class__.__name__} specifies both shorthand={shorthand} and field={field}. " raise ValueError(msg) if isinstance(shorthand, (tuple, list)): # If given a list of shorthands, then transform it to a list of classes kwds = self._kwds.copy() # type: ignore[attr-defined] kwds.pop("shorthand") return [ self.__class__(sh, **kwds).to_dict( # type: ignore[call-arg] validate=validate, ignore=ignore, context=context ) for sh in shorthand ] if shorthand is Undefined: parsed = {} elif isinstance(shorthand, str): data: nw.DataFrame | Any = context.get("data", None) parsed = parse_shorthand(shorthand, data=data) type_required = "type" in self._kwds # type: ignore[attr-defined] type_in_shorthand = "type" in parsed type_defined_explicitly = self._get("type") is not Undefined # type: ignore[attr-defined] if not type_required: # Secondary field names don't require a type argument in VegaLite 3+. # We still parse it out of the shorthand, but drop it here. parsed.pop("type", None) elif not (type_in_shorthand or type_defined_explicitly): if isinstance(data, nw.DataFrame): msg = ( f'Unable to determine data type for the field "{shorthand}";' " verify that the field name is not misspelled." " If you are referencing a field from a transform," " also confirm that the data type is specified correctly." ) raise ValueError(msg) else: msg = ( f"{shorthand} encoding field is specified without a type; " "the type cannot be automatically inferred because " "the data is not specified as a pandas.DataFrame." ) raise ValueError(msg) else: # Shorthand is not a string; we pass the definition to field, # and do not do any parsing. parsed = {"field": shorthand} context["parsed_shorthand"] = parsed return super().to_dict(validate=validate, ignore=ignore, context=context) class ValueChannelMixin: _encoding_name: str def to_dict( self, validate: bool = True, ignore: list[str] | None = None, context: dict[str, Any] | None = None, ) -> dict: context = context or {} ignore = ignore or [] condition = self._get("condition", Undefined) # type: ignore[attr-defined] copy = self # don't copy unless we need to if condition is not Undefined: if isinstance(condition, core.SchemaBase): pass elif "field" in condition and "type" not in condition: kwds = parse_shorthand(condition["field"], context.get("data", None)) copy = self.copy(deep=["condition"]) # type: ignore[attr-defined] copy["condition"].update(kwds) # type: ignore[index] return super(ValueChannelMixin, copy).to_dict( validate=validate, ignore=ignore, context=context ) class DatumChannelMixin: _encoding_name: str def to_dict( self, validate: bool = True, ignore: list[str] | None = None, context: dict[str, Any] | None = None, ) -> dict: context = context or {} ignore = ignore or [] datum = self._get("datum", Undefined) # type: ignore[attr-defined] # noqa copy = self # don't copy unless we need to return super(DatumChannelMixin, copy).to_dict( validate=validate, ignore=ignore, context=context ) @with_property_setters class Angle(FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumber): r""" Angle schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "angle" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Angle: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Angle: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Angle: ... @overload def bandPosition(self, _: float, **kwds) -> Angle: ... @overload def bin(self, _: bool, **kwds) -> Angle: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Angle: ... @overload def bin(self, _: None, **kwds) -> Angle: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Angle: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Angle: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> Angle: ... @overload def field(self, _: str, **kwds) -> Angle: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Angle: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Angle: ... @overload def legend(self, _: None, **kwds) -> Angle: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Angle: ... @overload def scale(self, _: None, **kwds) -> Angle: ... @overload def sort(self, _: list[float], **kwds) -> Angle: ... @overload def sort(self, _: list[str], **kwds) -> Angle: ... @overload def sort(self, _: list[bool], **kwds) -> Angle: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Angle: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Angle: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Angle: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Angle: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Angle: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Angle: ... @overload def sort(self, _: None, **kwds) -> Angle: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Angle: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Angle: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Angle: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Angle: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Angle: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Angle: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Angle: ... @overload def title(self, _: str, **kwds) -> Angle: ... @overload def title(self, _: list[str], **kwds) -> Angle: ... @overload def title(self, _: None, **kwds) -> Angle: ... @overload def type(self, _: StandardType_T, **kwds) -> Angle: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class AngleDatum(DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumber): """ AngleDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "angle" @overload def bandPosition(self, _: float, **kwds) -> AngleDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> AngleDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> AngleDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> AngleDatum: ... @overload def title(self, _: str, **kwds) -> AngleDatum: ... @overload def title(self, _: list[str], **kwds) -> AngleDatum: ... @overload def title(self, _: None, **kwds) -> AngleDatum: ... @overload def type(self, _: Type_T, **kwds) -> AngleDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class AngleValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumber ): """ AngleValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "angle" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> AngleValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> AngleValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> AngleValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> AngleValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> AngleValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> AngleValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> AngleValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Color( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefGradientstringnull, ): r""" Color schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "color" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Color: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Color: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Color: ... @overload def bandPosition(self, _: float, **kwds) -> Color: ... @overload def bin(self, _: bool, **kwds) -> Color: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Color: ... @overload def bin(self, _: None, **kwds) -> Color: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Color: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Color: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> Color: ... @overload def field(self, _: str, **kwds) -> Color: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Color: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Color: ... @overload def legend(self, _: None, **kwds) -> Color: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Color: ... @overload def scale(self, _: None, **kwds) -> Color: ... @overload def sort(self, _: list[float], **kwds) -> Color: ... @overload def sort(self, _: list[str], **kwds) -> Color: ... @overload def sort(self, _: list[bool], **kwds) -> Color: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Color: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Color: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Color: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Color: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Color: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Color: ... @overload def sort(self, _: None, **kwds) -> Color: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Color: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Color: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Color: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Color: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Color: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Color: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Color: ... @overload def title(self, _: str, **kwds) -> Color: ... @overload def title(self, _: list[str], **kwds) -> Color: ... @overload def title(self, _: None, **kwds) -> Color: ... @overload def type(self, _: StandardType_T, **kwds) -> Color: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class ColorDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefGradientstringnull ): """ ColorDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "color" @overload def bandPosition(self, _: float, **kwds) -> ColorDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ColorDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ColorDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> ColorDatum: ... @overload def title(self, _: str, **kwds) -> ColorDatum: ... @overload def title(self, _: list[str], **kwds) -> ColorDatum: ... @overload def title(self, _: None, **kwds) -> ColorDatum: ... @overload def type(self, _: Type_T, **kwds) -> ColorDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class ColorValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefGradientstringnull, ): """ ColorValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef`, :class:`Gradient`, :class:`LinearGradient`, :class:`RadialGradient` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "color" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> ColorValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> ColorValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> ColorValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> ColorValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ColorValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ColorValue: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> ColorValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Column(FieldChannelMixin, core.RowColumnEncodingFieldDef): r""" Column schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. align : :class:`LayoutAlign`, Literal['all', 'each', 'none'] The alignment to apply to row/column facet's subplot. The supported string values are ``"all"``, ``"each"``, and ``"none"``. * For ``"none"``, a flow layout will be used, in which adjacent subviews are simply placed one after the other. * For ``"each"``, subviews will be aligned into a clean grid structure, but each row or column may be of variable size. * For ``"all"``, subviews will be aligned and each row or column will be sized identically based on the maximum observed size. String values for this property will be applied to both grid rows and columns. **Default value:** ``"all"``. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. center : bool Boolean flag indicating if facet's subviews should be centered relative to their respective rows or columns. **Default value:** ``false`` field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. header : dict, None, :class:`Header` An object defining properties of a facet's header. sort : dict, None, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`EncodingSortField`, Sequence[dict, :class:`DateTime`], Literal['ascending', 'descending'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` is not supported for ``row`` and ``column``. spacing : float The spacing in pixels between facet's sub-views. **Default value**: Depends on ``"spacing"`` property of `the view composition configuration `__ (``20`` by default) timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "column" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Column: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Column: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Column: ... @overload def align(self, _: LayoutAlign_T, **kwds) -> Column: ... @overload def bandPosition(self, _: float, **kwds) -> Column: ... @overload def bin(self, _: bool, **kwds) -> Column: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Column: ... @overload def bin(self, _: None, **kwds) -> Column: ... @overload def center(self, _: bool, **kwds) -> Column: ... @overload def field(self, _: str, **kwds) -> Column: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Column: ... @overload def header( self, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAnchor: Optional[SchemaBase | TitleAnchor_T] = Undefined, labelAngle: Optional[float] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOrient: Optional[SchemaBase | Orient_T] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, orient: Optional[SchemaBase | Orient_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[SchemaBase | TitleAnchor_T] = Undefined, titleAngle: Optional[float] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Column: ... @overload def header(self, _: None, **kwds) -> Column: ... @overload def sort(self, _: list[float], **kwds) -> Column: ... @overload def sort(self, _: list[str], **kwds) -> Column: ... @overload def sort(self, _: list[bool], **kwds) -> Column: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Column: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Column: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Column: ... @overload def sort(self, _: None, **kwds) -> Column: ... @overload def spacing(self, _: float, **kwds) -> Column: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Column: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Column: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Column: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Column: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Column: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Column: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Column: ... @overload def title(self, _: str, **kwds) -> Column: ... @overload def title(self, _: list[str], **kwds) -> Column: ... @overload def title(self, _: None, **kwds) -> Column: ... @overload def type(self, _: StandardType_T, **kwds) -> Column: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, align: Optional[SchemaBase | LayoutAlign_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, center: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, header: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | SortOrder_T ] = Undefined, spacing: Optional[float] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, align=align, bandPosition=bandPosition, bin=bin, center=center, field=field, header=header, sort=sort, spacing=spacing, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class Description(FieldChannelMixin, core.StringFieldDefWithCondition): r""" Description schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`, Sequence[dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. format : str, dict, :class:`Dict` When used with the default ``"number"`` and ``"time"`` format type, the text formatting pattern for labels of guides (axes, legends, headers) and text marks. * If the format type is ``"number"`` (e.g., for quantitative fields), this is D3's `number format pattern `__. * If the format type is ``"time"`` (e.g., for temporal fields), this is D3's `time format pattern `__. See the `format documentation `__ for more examples. When used with a `custom formatType `__, this value will be passed as ``format`` alongside ``datum.value`` to the registered function. **Default value:** Derived from `numberFormat `__ config for number format and from `timeFormat `__ config for time format. formatType : str The format type for labels. One of ``"number"``, ``"time"``, or a `registered custom format type `__. **Default value:** * ``"time"`` for temporal fields and ordinal and nominal fields with ``timeUnit``. * ``"number"`` for quantitative fields as well as ordinal and nominal fields without ``timeUnit``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "description" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Description: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Description: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Description: ... @overload def bandPosition(self, _: float, **kwds) -> Description: ... @overload def bin(self, _: bool, **kwds) -> Description: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Description: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Description: ... @overload def bin(self, _: None, **kwds) -> Description: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Description: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Description: ... @overload def condition( self, _: list[core.ConditionalValueDefstringExprRef], **kwds ) -> Description: ... @overload def field(self, _: str, **kwds) -> Description: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Description: ... @overload def format(self, _: str, **kwds) -> Description: ... @overload def format(self, _: dict, **kwds) -> Description: ... @overload def formatType(self, _: str, **kwds) -> Description: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Description: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Description: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Description: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Description: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Description: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Description: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Description: ... @overload def title(self, _: str, **kwds) -> Description: ... @overload def title(self, _: list[str], **kwds) -> Description: ... @overload def title(self, _: None, **kwds) -> Description: ... @overload def type(self, _: StandardType_T, **kwds) -> Description: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, format=format, formatType=formatType, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class DescriptionValue(ValueChannelMixin, core.StringValueDefWithCondition): """ DescriptionValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "description" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> DescriptionValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> DescriptionValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> DescriptionValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> DescriptionValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> DescriptionValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> DescriptionValue: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> DescriptionValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Detail(FieldChannelMixin, core.FieldDefWithoutScale): r""" Detail schema wrapper. Definition object for a data field, its type and transformation of an encoding channel. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "detail" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Detail: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Detail: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Detail: ... @overload def bandPosition(self, _: float, **kwds) -> Detail: ... @overload def bin(self, _: bool, **kwds) -> Detail: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Detail: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Detail: ... @overload def bin(self, _: None, **kwds) -> Detail: ... @overload def field(self, _: str, **kwds) -> Detail: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Detail: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Detail: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Detail: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Detail: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Detail: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Detail: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Detail: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Detail: ... @overload def title(self, _: str, **kwds) -> Detail: ... @overload def title(self, _: list[str], **kwds) -> Detail: ... @overload def title(self, _: None, **kwds) -> Detail: ... @overload def type(self, _: StandardType_T, **kwds) -> Detail: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class Facet(FieldChannelMixin, core.FacetEncodingFieldDef): r""" Facet schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. align : dict, :class:`LayoutAlign`, :class:`RowColLayoutAlign`, Literal['all', 'each', 'none'] The alignment to apply to grid rows and columns. The supported string values are ``"all"``, ``"each"``, and ``"none"``. * For ``"none"``, a flow layout will be used, in which adjacent subviews are simply placed one after the other. * For ``"each"``, subviews will be aligned into a clean grid structure, but each row or column may be of variable size. * For ``"all"``, subviews will be aligned and each row or column will be sized identically based on the maximum observed size. String values for this property will be applied to both grid rows and columns. Alternatively, an object value of the form ``{"row": string, "column": string}`` can be used to supply different alignments for rows and columns. **Default value:** ``"all"``. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. bounds : Literal['full', 'flush'] The bounds calculation method to use for determining the extent of a sub-plot. One of ``full`` (the default) or ``flush``. * If set to ``full``, the entire calculated bounds (including axes, title, and legend) will be used. * If set to ``flush``, only the specified width and height values for the sub-view will be used. The ``flush`` setting can be useful when attempting to place sub-plots without axes or legends into a uniform grid structure. **Default value:** ``"full"`` center : bool, dict, :class:`RowColboolean` Boolean flag indicating if subviews should be centered relative to their respective rows or columns. An object value of the form ``{"row": boolean, "column": boolean}`` can be used to supply different centering values for rows and columns. **Default value:** ``false`` columns : float The number of columns to include in the view composition layout. **Default value**: ``undefined`` -- An infinite number of columns (a single row) will be assumed. This is equivalent to ``hconcat`` (for ``concat``) and to using the ``column`` channel (for ``facet`` and ``repeat``). **Note**: 1) This property is only for: * the general (wrappable) ``concat`` operator (not ``hconcat``/``vconcat``) * the ``facet`` and ``repeat`` operator with one field/repetition definition (without row/column nesting) 2) Setting the ``columns`` to ``1`` is equivalent to ``vconcat`` (for ``concat``) and to using the ``row`` channel (for ``facet`` and ``repeat``). field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. header : dict, None, :class:`Header` An object defining properties of a facet's header. sort : dict, None, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`EncodingSortField`, Sequence[dict, :class:`DateTime`], Literal['ascending', 'descending'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` is not supported for ``row`` and ``column``. spacing : dict, float, :class:`RowColnumber` The spacing in pixels between sub-views of the composition operator. An object of the form ``{"row": number, "column": number}`` can be used to set different spacing values for rows and columns. **Default value**: Depends on ``"spacing"`` property of `the view composition configuration `__ (``20`` by default) timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "facet" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Facet: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Facet: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Facet: ... @overload def align(self, _: LayoutAlign_T, **kwds) -> Facet: ... @overload def align( self, column: Optional[SchemaBase | LayoutAlign_T] = Undefined, row: Optional[SchemaBase | LayoutAlign_T] = Undefined, **kwds, ) -> Facet: ... @overload def bandPosition(self, _: float, **kwds) -> Facet: ... @overload def bin(self, _: bool, **kwds) -> Facet: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Facet: ... @overload def bin(self, _: None, **kwds) -> Facet: ... @overload def bounds(self, _: Literal["full", "flush"], **kwds) -> Facet: ... @overload def center(self, _: bool, **kwds) -> Facet: ... @overload def center( self, column: Optional[bool] = Undefined, row: Optional[bool] = Undefined, **kwds, ) -> Facet: ... @overload def columns(self, _: float, **kwds) -> Facet: ... @overload def field(self, _: str, **kwds) -> Facet: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Facet: ... @overload def header( self, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAnchor: Optional[SchemaBase | TitleAnchor_T] = Undefined, labelAngle: Optional[float] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOrient: Optional[SchemaBase | Orient_T] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, orient: Optional[SchemaBase | Orient_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[SchemaBase | TitleAnchor_T] = Undefined, titleAngle: Optional[float] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Facet: ... @overload def header(self, _: None, **kwds) -> Facet: ... @overload def sort(self, _: list[float], **kwds) -> Facet: ... @overload def sort(self, _: list[str], **kwds) -> Facet: ... @overload def sort(self, _: list[bool], **kwds) -> Facet: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Facet: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Facet: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Facet: ... @overload def sort(self, _: None, **kwds) -> Facet: ... @overload def spacing(self, _: float, **kwds) -> Facet: ... @overload def spacing( self, column: Optional[float] = Undefined, row: Optional[float] = Undefined, **kwds, ) -> Facet: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Facet: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Facet: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Facet: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Facet: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Facet: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Facet: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Facet: ... @overload def title(self, _: str, **kwds) -> Facet: ... @overload def title(self, _: list[str], **kwds) -> Facet: ... @overload def title(self, _: None, **kwds) -> Facet: ... @overload def type(self, _: StandardType_T, **kwds) -> Facet: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, align: Optional[dict | SchemaBase | LayoutAlign_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, bounds: Optional[Literal["full", "flush"]] = Undefined, center: Optional[bool | dict | SchemaBase] = Undefined, columns: Optional[float] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, header: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | SortOrder_T ] = Undefined, spacing: Optional[dict | float | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, align=align, bandPosition=bandPosition, bin=bin, bounds=bounds, center=center, columns=columns, field=field, header=header, sort=sort, spacing=spacing, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class Fill( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefGradientstringnull, ): r""" Fill schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "fill" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Fill: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Fill: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Fill: ... @overload def bandPosition(self, _: float, **kwds) -> Fill: ... @overload def bin(self, _: bool, **kwds) -> Fill: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Fill: ... @overload def bin(self, _: None, **kwds) -> Fill: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Fill: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Fill: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> Fill: ... @overload def field(self, _: str, **kwds) -> Fill: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Fill: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Fill: ... @overload def legend(self, _: None, **kwds) -> Fill: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Fill: ... @overload def scale(self, _: None, **kwds) -> Fill: ... @overload def sort(self, _: list[float], **kwds) -> Fill: ... @overload def sort(self, _: list[str], **kwds) -> Fill: ... @overload def sort(self, _: list[bool], **kwds) -> Fill: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Fill: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Fill: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Fill: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Fill: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Fill: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Fill: ... @overload def sort(self, _: None, **kwds) -> Fill: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Fill: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Fill: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Fill: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Fill: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Fill: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Fill: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Fill: ... @overload def title(self, _: str, **kwds) -> Fill: ... @overload def title(self, _: list[str], **kwds) -> Fill: ... @overload def title(self, _: None, **kwds) -> Fill: ... @overload def type(self, _: StandardType_T, **kwds) -> Fill: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class FillDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefGradientstringnull ): """ FillDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "fill" @overload def bandPosition(self, _: float, **kwds) -> FillDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> FillDatum: ... @overload def title(self, _: str, **kwds) -> FillDatum: ... @overload def title(self, _: list[str], **kwds) -> FillDatum: ... @overload def title(self, _: None, **kwds) -> FillDatum: ... @overload def type(self, _: Type_T, **kwds) -> FillDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class FillValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefGradientstringnull, ): """ FillValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef`, :class:`Gradient`, :class:`LinearGradient`, :class:`RadialGradient` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "fill" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> FillValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> FillValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> FillValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> FillValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillValue: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> FillValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class FillOpacity( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumber ): r""" FillOpacity schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "fillOpacity" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> FillOpacity: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> FillOpacity: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> FillOpacity: ... @overload def bandPosition(self, _: float, **kwds) -> FillOpacity: ... @overload def bin(self, _: bool, **kwds) -> FillOpacity: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> FillOpacity: ... @overload def bin(self, _: None, **kwds) -> FillOpacity: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacity: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacity: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> FillOpacity: ... @overload def field(self, _: str, **kwds) -> FillOpacity: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> FillOpacity: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> FillOpacity: ... @overload def legend(self, _: None, **kwds) -> FillOpacity: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacity: ... @overload def scale(self, _: None, **kwds) -> FillOpacity: ... @overload def sort(self, _: list[float], **kwds) -> FillOpacity: ... @overload def sort(self, _: list[str], **kwds) -> FillOpacity: ... @overload def sort(self, _: list[bool], **kwds) -> FillOpacity: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> FillOpacity: ... @overload def sort(self, _: SortOrder_T, **kwds) -> FillOpacity: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> FillOpacity: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> FillOpacity: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> FillOpacity: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> FillOpacity: ... @overload def sort(self, _: None, **kwds) -> FillOpacity: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> FillOpacity: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> FillOpacity: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> FillOpacity: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> FillOpacity: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> FillOpacity: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> FillOpacity: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> FillOpacity: ... @overload def title(self, _: str, **kwds) -> FillOpacity: ... @overload def title(self, _: list[str], **kwds) -> FillOpacity: ... @overload def title(self, _: None, **kwds) -> FillOpacity: ... @overload def type(self, _: StandardType_T, **kwds) -> FillOpacity: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class FillOpacityDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumber ): """ FillOpacityDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "fillOpacity" @overload def bandPosition(self, _: float, **kwds) -> FillOpacityDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacityDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacityDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> FillOpacityDatum: ... @overload def title(self, _: str, **kwds) -> FillOpacityDatum: ... @overload def title(self, _: list[str], **kwds) -> FillOpacityDatum: ... @overload def title(self, _: None, **kwds) -> FillOpacityDatum: ... @overload def type(self, _: Type_T, **kwds) -> FillOpacityDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class FillOpacityValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumber ): """ FillOpacityValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "fillOpacity" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> FillOpacityValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> FillOpacityValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> FillOpacityValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> FillOpacityValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacityValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> FillOpacityValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> FillOpacityValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Href(FieldChannelMixin, core.StringFieldDefWithCondition): r""" Href schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`, Sequence[dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. format : str, dict, :class:`Dict` When used with the default ``"number"`` and ``"time"`` format type, the text formatting pattern for labels of guides (axes, legends, headers) and text marks. * If the format type is ``"number"`` (e.g., for quantitative fields), this is D3's `number format pattern `__. * If the format type is ``"time"`` (e.g., for temporal fields), this is D3's `time format pattern `__. See the `format documentation `__ for more examples. When used with a `custom formatType `__, this value will be passed as ``format`` alongside ``datum.value`` to the registered function. **Default value:** Derived from `numberFormat `__ config for number format and from `timeFormat `__ config for time format. formatType : str The format type for labels. One of ``"number"``, ``"time"``, or a `registered custom format type `__. **Default value:** * ``"time"`` for temporal fields and ordinal and nominal fields with ``timeUnit``. * ``"number"`` for quantitative fields as well as ordinal and nominal fields without ``timeUnit``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "href" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Href: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Href: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Href: ... @overload def bandPosition(self, _: float, **kwds) -> Href: ... @overload def bin(self, _: bool, **kwds) -> Href: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Href: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Href: ... @overload def bin(self, _: None, **kwds) -> Href: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Href: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Href: ... @overload def condition( self, _: list[core.ConditionalValueDefstringExprRef], **kwds ) -> Href: ... @overload def field(self, _: str, **kwds) -> Href: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Href: ... @overload def format(self, _: str, **kwds) -> Href: ... @overload def format(self, _: dict, **kwds) -> Href: ... @overload def formatType(self, _: str, **kwds) -> Href: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Href: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Href: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Href: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Href: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Href: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Href: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Href: ... @overload def title(self, _: str, **kwds) -> Href: ... @overload def title(self, _: list[str], **kwds) -> Href: ... @overload def title(self, _: None, **kwds) -> Href: ... @overload def type(self, _: StandardType_T, **kwds) -> Href: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, format=format, formatType=formatType, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class HrefValue(ValueChannelMixin, core.StringValueDefWithCondition): """ HrefValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "href" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> HrefValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> HrefValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> HrefValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> HrefValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> HrefValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> HrefValue: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> HrefValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Key(FieldChannelMixin, core.FieldDefWithoutScale): r""" Key schema wrapper. Definition object for a data field, its type and transformation of an encoding channel. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "key" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Key: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Key: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Key: ... @overload def bandPosition(self, _: float, **kwds) -> Key: ... @overload def bin(self, _: bool, **kwds) -> Key: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Key: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Key: ... @overload def bin(self, _: None, **kwds) -> Key: ... @overload def field(self, _: str, **kwds) -> Key: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Key: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Key: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Key: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Key: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Key: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Key: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Key: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Key: ... @overload def title(self, _: str, **kwds) -> Key: ... @overload def title(self, _: list[str], **kwds) -> Key: ... @overload def title(self, _: None, **kwds) -> Key: ... @overload def type(self, _: StandardType_T, **kwds) -> Key: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class Latitude(FieldChannelMixin, core.LatLongFieldDef): r""" Latitude schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : Literal['quantitative'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "latitude" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Latitude: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Latitude: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Latitude: ... @overload def bandPosition(self, _: float, **kwds) -> Latitude: ... @overload def bin(self, _: None, **kwds) -> Latitude: ... @overload def field(self, _: str, **kwds) -> Latitude: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Latitude: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Latitude: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Latitude: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Latitude: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Latitude: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Latitude: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Latitude: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Latitude: ... @overload def title(self, _: str, **kwds) -> Latitude: ... @overload def title(self, _: list[str], **kwds) -> Latitude: ... @overload def title(self, _: None, **kwds) -> Latitude: ... @overload def type(self, _: Literal["quantitative"], **kwds) -> Latitude: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[Literal["quantitative"]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class LatitudeDatum(DatumChannelMixin, core.DatumDef): """ LatitudeDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "latitude" @overload def bandPosition(self, _: float, **kwds) -> LatitudeDatum: ... @overload def title(self, _: str, **kwds) -> LatitudeDatum: ... @overload def title(self, _: list[str], **kwds) -> LatitudeDatum: ... @overload def title(self, _: None, **kwds) -> LatitudeDatum: ... @overload def type(self, _: Type_T, **kwds) -> LatitudeDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Latitude2(FieldChannelMixin, core.SecondaryFieldDef): r""" Latitude2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "latitude2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Latitude2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Latitude2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Latitude2: ... @overload def bandPosition(self, _: float, **kwds) -> Latitude2: ... @overload def bin(self, _: None, **kwds) -> Latitude2: ... @overload def field(self, _: str, **kwds) -> Latitude2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Latitude2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Latitude2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Latitude2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Latitude2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Latitude2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Latitude2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Latitude2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Latitude2: ... @overload def title(self, _: str, **kwds) -> Latitude2: ... @overload def title(self, _: list[str], **kwds) -> Latitude2: ... @overload def title(self, _: None, **kwds) -> Latitude2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class Latitude2Datum(DatumChannelMixin, core.DatumDef): """ Latitude2Datum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "latitude2" @overload def bandPosition(self, _: float, **kwds) -> Latitude2Datum: ... @overload def title(self, _: str, **kwds) -> Latitude2Datum: ... @overload def title(self, _: list[str], **kwds) -> Latitude2Datum: ... @overload def title(self, _: None, **kwds) -> Latitude2Datum: ... @overload def type(self, _: Type_T, **kwds) -> Latitude2Datum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Latitude2Value(ValueChannelMixin, core.PositionValueDef): """ Latitude2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "latitude2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Longitude(FieldChannelMixin, core.LatLongFieldDef): r""" Longitude schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : Literal['quantitative'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "longitude" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Longitude: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Longitude: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Longitude: ... @overload def bandPosition(self, _: float, **kwds) -> Longitude: ... @overload def bin(self, _: None, **kwds) -> Longitude: ... @overload def field(self, _: str, **kwds) -> Longitude: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Longitude: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Longitude: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Longitude: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Longitude: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Longitude: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Longitude: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Longitude: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Longitude: ... @overload def title(self, _: str, **kwds) -> Longitude: ... @overload def title(self, _: list[str], **kwds) -> Longitude: ... @overload def title(self, _: None, **kwds) -> Longitude: ... @overload def type(self, _: Literal["quantitative"], **kwds) -> Longitude: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[Literal["quantitative"]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class LongitudeDatum(DatumChannelMixin, core.DatumDef): """ LongitudeDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "longitude" @overload def bandPosition(self, _: float, **kwds) -> LongitudeDatum: ... @overload def title(self, _: str, **kwds) -> LongitudeDatum: ... @overload def title(self, _: list[str], **kwds) -> LongitudeDatum: ... @overload def title(self, _: None, **kwds) -> LongitudeDatum: ... @overload def type(self, _: Type_T, **kwds) -> LongitudeDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Longitude2(FieldChannelMixin, core.SecondaryFieldDef): r""" Longitude2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "longitude2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Longitude2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Longitude2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Longitude2: ... @overload def bandPosition(self, _: float, **kwds) -> Longitude2: ... @overload def bin(self, _: None, **kwds) -> Longitude2: ... @overload def field(self, _: str, **kwds) -> Longitude2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Longitude2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Longitude2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Longitude2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Longitude2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Longitude2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Longitude2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Longitude2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Longitude2: ... @overload def title(self, _: str, **kwds) -> Longitude2: ... @overload def title(self, _: list[str], **kwds) -> Longitude2: ... @overload def title(self, _: None, **kwds) -> Longitude2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class Longitude2Datum(DatumChannelMixin, core.DatumDef): """ Longitude2Datum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "longitude2" @overload def bandPosition(self, _: float, **kwds) -> Longitude2Datum: ... @overload def title(self, _: str, **kwds) -> Longitude2Datum: ... @overload def title(self, _: list[str], **kwds) -> Longitude2Datum: ... @overload def title(self, _: None, **kwds) -> Longitude2Datum: ... @overload def type(self, _: Type_T, **kwds) -> Longitude2Datum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Longitude2Value(ValueChannelMixin, core.PositionValueDef): """ Longitude2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "longitude2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Opacity( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumber ): r""" Opacity schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "opacity" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Opacity: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Opacity: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Opacity: ... @overload def bandPosition(self, _: float, **kwds) -> Opacity: ... @overload def bin(self, _: bool, **kwds) -> Opacity: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Opacity: ... @overload def bin(self, _: None, **kwds) -> Opacity: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Opacity: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Opacity: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> Opacity: ... @overload def field(self, _: str, **kwds) -> Opacity: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Opacity: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Opacity: ... @overload def legend(self, _: None, **kwds) -> Opacity: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Opacity: ... @overload def scale(self, _: None, **kwds) -> Opacity: ... @overload def sort(self, _: list[float], **kwds) -> Opacity: ... @overload def sort(self, _: list[str], **kwds) -> Opacity: ... @overload def sort(self, _: list[bool], **kwds) -> Opacity: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Opacity: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Opacity: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Opacity: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Opacity: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Opacity: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Opacity: ... @overload def sort(self, _: None, **kwds) -> Opacity: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Opacity: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Opacity: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Opacity: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Opacity: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Opacity: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Opacity: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Opacity: ... @overload def title(self, _: str, **kwds) -> Opacity: ... @overload def title(self, _: list[str], **kwds) -> Opacity: ... @overload def title(self, _: None, **kwds) -> Opacity: ... @overload def type(self, _: StandardType_T, **kwds) -> Opacity: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class OpacityDatum(DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumber): """ OpacityDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "opacity" @overload def bandPosition(self, _: float, **kwds) -> OpacityDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> OpacityDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> OpacityDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> OpacityDatum: ... @overload def title(self, _: str, **kwds) -> OpacityDatum: ... @overload def title(self, _: list[str], **kwds) -> OpacityDatum: ... @overload def title(self, _: None, **kwds) -> OpacityDatum: ... @overload def type(self, _: Type_T, **kwds) -> OpacityDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class OpacityValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumber ): """ OpacityValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "opacity" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> OpacityValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> OpacityValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> OpacityValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> OpacityValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> OpacityValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> OpacityValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> OpacityValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Order(FieldChannelMixin, core.OrderFieldDef): r""" Order schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. sort : :class:`SortOrder`, Literal['ascending', 'descending'] The sort order. One of ``"ascending"`` (default) or ``"descending"``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "order" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Order: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Order: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Order: ... @overload def bandPosition(self, _: float, **kwds) -> Order: ... @overload def bin(self, _: bool, **kwds) -> Order: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Order: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Order: ... @overload def bin(self, _: None, **kwds) -> Order: ... @overload def field(self, _: str, **kwds) -> Order: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Order: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Order: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Order: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Order: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Order: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Order: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Order: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Order: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Order: ... @overload def title(self, _: str, **kwds) -> Order: ... @overload def title(self, _: list[str], **kwds) -> Order: ... @overload def title(self, _: None, **kwds) -> Order: ... @overload def type(self, _: StandardType_T, **kwds) -> Order: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, sort: Optional[SchemaBase | SortOrder_T] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class OrderValue(ValueChannelMixin, core.OrderValueDef): """ OrderValue schema wrapper. Parameters ---------- value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). condition : dict, :class:`ConditionalValueDefnumber`, :class:`ConditionalParameterValueDefnumber`, :class:`ConditionalPredicateValueDefnumber`, Sequence[dict, :class:`ConditionalValueDefnumber`, :class:`ConditionalParameterValueDefnumber`, :class:`ConditionalPredicateValueDefnumber`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. """ _class_is_valid_at_instantiation = False _encoding_name = "order" @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[float] = Undefined, **kwds, ) -> OrderValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[float] = Undefined, **kwds, ) -> OrderValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumber], **kwds ) -> OrderValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Radius(FieldChannelMixin, core.PositionFieldDefBase): r""" Radius schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "radius" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Radius: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Radius: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Radius: ... @overload def bandPosition(self, _: float, **kwds) -> Radius: ... @overload def bin(self, _: bool, **kwds) -> Radius: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Radius: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Radius: ... @overload def bin(self, _: None, **kwds) -> Radius: ... @overload def field(self, _: str, **kwds) -> Radius: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Radius: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Radius: ... @overload def scale(self, _: None, **kwds) -> Radius: ... @overload def sort(self, _: list[float], **kwds) -> Radius: ... @overload def sort(self, _: list[str], **kwds) -> Radius: ... @overload def sort(self, _: list[bool], **kwds) -> Radius: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Radius: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Radius: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Radius: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Radius: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Radius: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Radius: ... @overload def sort(self, _: None, **kwds) -> Radius: ... @overload def stack(self, _: StackOffset_T, **kwds) -> Radius: ... @overload def stack(self, _: None, **kwds) -> Radius: ... @overload def stack(self, _: bool, **kwds) -> Radius: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Radius: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Radius: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Radius: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Radius: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Radius: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Radius: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Radius: ... @overload def title(self, _: str, **kwds) -> Radius: ... @overload def title(self, _: list[str], **kwds) -> Radius: ... @overload def title(self, _: None, **kwds) -> Radius: ... @overload def type(self, _: StandardType_T, **kwds) -> Radius: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, scale=scale, sort=sort, stack=stack, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class RadiusDatum(DatumChannelMixin, core.PositionDatumDefBase): """ RadiusDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "radius" @overload def bandPosition(self, _: float, **kwds) -> RadiusDatum: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> RadiusDatum: ... @overload def scale(self, _: None, **kwds) -> RadiusDatum: ... @overload def stack(self, _: StackOffset_T, **kwds) -> RadiusDatum: ... @overload def stack(self, _: None, **kwds) -> RadiusDatum: ... @overload def stack(self, _: bool, **kwds) -> RadiusDatum: ... @overload def title(self, _: str, **kwds) -> RadiusDatum: ... @overload def title(self, _: list[str], **kwds) -> RadiusDatum: ... @overload def title(self, _: None, **kwds) -> RadiusDatum: ... @overload def type(self, _: Type_T, **kwds) -> RadiusDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, scale=scale, stack=stack, title=title, type=type, **kwds, ) @with_property_setters class RadiusValue(ValueChannelMixin, core.PositionValueDef): """ RadiusValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "radius" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Radius2(FieldChannelMixin, core.SecondaryFieldDef): r""" Radius2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "radius2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Radius2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Radius2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Radius2: ... @overload def bandPosition(self, _: float, **kwds) -> Radius2: ... @overload def bin(self, _: None, **kwds) -> Radius2: ... @overload def field(self, _: str, **kwds) -> Radius2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Radius2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Radius2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Radius2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Radius2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Radius2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Radius2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Radius2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Radius2: ... @overload def title(self, _: str, **kwds) -> Radius2: ... @overload def title(self, _: list[str], **kwds) -> Radius2: ... @overload def title(self, _: None, **kwds) -> Radius2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class Radius2Datum(DatumChannelMixin, core.DatumDef): """ Radius2Datum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "radius2" @overload def bandPosition(self, _: float, **kwds) -> Radius2Datum: ... @overload def title(self, _: str, **kwds) -> Radius2Datum: ... @overload def title(self, _: list[str], **kwds) -> Radius2Datum: ... @overload def title(self, _: None, **kwds) -> Radius2Datum: ... @overload def type(self, _: Type_T, **kwds) -> Radius2Datum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Radius2Value(ValueChannelMixin, core.PositionValueDef): """ Radius2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "radius2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Row(FieldChannelMixin, core.RowColumnEncodingFieldDef): r""" Row schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. align : :class:`LayoutAlign`, Literal['all', 'each', 'none'] The alignment to apply to row/column facet's subplot. The supported string values are ``"all"``, ``"each"``, and ``"none"``. * For ``"none"``, a flow layout will be used, in which adjacent subviews are simply placed one after the other. * For ``"each"``, subviews will be aligned into a clean grid structure, but each row or column may be of variable size. * For ``"all"``, subviews will be aligned and each row or column will be sized identically based on the maximum observed size. String values for this property will be applied to both grid rows and columns. **Default value:** ``"all"``. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. center : bool Boolean flag indicating if facet's subviews should be centered relative to their respective rows or columns. **Default value:** ``false`` field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. header : dict, None, :class:`Header` An object defining properties of a facet's header. sort : dict, None, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`EncodingSortField`, Sequence[dict, :class:`DateTime`], Literal['ascending', 'descending'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` is not supported for ``row`` and ``column``. spacing : float The spacing in pixels between facet's sub-views. **Default value**: Depends on ``"spacing"`` property of `the view composition configuration `__ (``20`` by default) timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "row" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Row: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Row: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Row: ... @overload def align(self, _: LayoutAlign_T, **kwds) -> Row: ... @overload def bandPosition(self, _: float, **kwds) -> Row: ... @overload def bin(self, _: bool, **kwds) -> Row: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Row: ... @overload def bin(self, _: None, **kwds) -> Row: ... @overload def center(self, _: bool, **kwds) -> Row: ... @overload def field(self, _: str, **kwds) -> Row: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Row: ... @overload def header( self, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAnchor: Optional[SchemaBase | TitleAnchor_T] = Undefined, labelAngle: Optional[float] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOrient: Optional[SchemaBase | Orient_T] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, orient: Optional[SchemaBase | Orient_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[SchemaBase | TitleAnchor_T] = Undefined, titleAngle: Optional[float] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Row: ... @overload def header(self, _: None, **kwds) -> Row: ... @overload def sort(self, _: list[float], **kwds) -> Row: ... @overload def sort(self, _: list[str], **kwds) -> Row: ... @overload def sort(self, _: list[bool], **kwds) -> Row: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Row: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Row: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Row: ... @overload def sort(self, _: None, **kwds) -> Row: ... @overload def spacing(self, _: float, **kwds) -> Row: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Row: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Row: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Row: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Row: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Row: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Row: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Row: ... @overload def title(self, _: str, **kwds) -> Row: ... @overload def title(self, _: list[str], **kwds) -> Row: ... @overload def title(self, _: None, **kwds) -> Row: ... @overload def type(self, _: StandardType_T, **kwds) -> Row: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, align: Optional[SchemaBase | LayoutAlign_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, center: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, header: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | SortOrder_T ] = Undefined, spacing: Optional[float] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, align=align, bandPosition=bandPosition, bin=bin, center=center, field=field, header=header, sort=sort, spacing=spacing, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class Shape( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefTypeForShapestringnull, ): r""" Shape schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`TypeForShape`, Literal['nominal', 'ordinal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "shape" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Shape: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Shape: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Shape: ... @overload def bandPosition(self, _: float, **kwds) -> Shape: ... @overload def bin(self, _: bool, **kwds) -> Shape: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Shape: ... @overload def bin(self, _: None, **kwds) -> Shape: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Shape: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Shape: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> Shape: ... @overload def field(self, _: str, **kwds) -> Shape: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Shape: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Shape: ... @overload def legend(self, _: None, **kwds) -> Shape: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Shape: ... @overload def scale(self, _: None, **kwds) -> Shape: ... @overload def sort(self, _: list[float], **kwds) -> Shape: ... @overload def sort(self, _: list[str], **kwds) -> Shape: ... @overload def sort(self, _: list[bool], **kwds) -> Shape: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Shape: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Shape: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Shape: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Shape: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Shape: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Shape: ... @overload def sort(self, _: None, **kwds) -> Shape: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Shape: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Shape: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Shape: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Shape: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Shape: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Shape: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Shape: ... @overload def title(self, _: str, **kwds) -> Shape: ... @overload def title(self, _: list[str], **kwds) -> Shape: ... @overload def title(self, _: None, **kwds) -> Shape: ... @overload def type(self, _: TypeForShape_T, **kwds) -> Shape: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | TypeForShape_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class ShapeDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefstringnull ): """ ShapeDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "shape" @overload def bandPosition(self, _: float, **kwds) -> ShapeDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ShapeDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ShapeDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> ShapeDatum: ... @overload def title(self, _: str, **kwds) -> ShapeDatum: ... @overload def title(self, _: list[str], **kwds) -> ShapeDatum: ... @overload def title(self, _: None, **kwds) -> ShapeDatum: ... @overload def type(self, _: Type_T, **kwds) -> ShapeDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class ShapeValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefTypeForShapestringnull, ): """ ShapeValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, :class:`ConditionalMarkPropFieldOrDatumDefTypeForShape`, :class:`ConditionalParameterMarkPropFieldOrDatumDefTypeForShape`, :class:`ConditionalPredicateMarkPropFieldOrDatumDefTypeForShape`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "shape" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | TypeForShape_T] = Undefined, **kwds, ) -> ShapeValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> ShapeValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | TypeForShape_T] = Undefined, **kwds, ) -> ShapeValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> ShapeValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ShapeValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> ShapeValue: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> ShapeValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Size(FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumber): r""" Size schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "size" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Size: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Size: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Size: ... @overload def bandPosition(self, _: float, **kwds) -> Size: ... @overload def bin(self, _: bool, **kwds) -> Size: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Size: ... @overload def bin(self, _: None, **kwds) -> Size: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Size: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> Size: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> Size: ... @overload def field(self, _: str, **kwds) -> Size: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Size: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Size: ... @overload def legend(self, _: None, **kwds) -> Size: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Size: ... @overload def scale(self, _: None, **kwds) -> Size: ... @overload def sort(self, _: list[float], **kwds) -> Size: ... @overload def sort(self, _: list[str], **kwds) -> Size: ... @overload def sort(self, _: list[bool], **kwds) -> Size: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Size: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Size: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Size: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Size: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Size: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Size: ... @overload def sort(self, _: None, **kwds) -> Size: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Size: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Size: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Size: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Size: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Size: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Size: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Size: ... @overload def title(self, _: str, **kwds) -> Size: ... @overload def title(self, _: list[str], **kwds) -> Size: ... @overload def title(self, _: None, **kwds) -> Size: ... @overload def type(self, _: StandardType_T, **kwds) -> Size: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class SizeDatum(DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumber): """ SizeDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "size" @overload def bandPosition(self, _: float, **kwds) -> SizeDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> SizeDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> SizeDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> SizeDatum: ... @overload def title(self, _: str, **kwds) -> SizeDatum: ... @overload def title(self, _: list[str], **kwds) -> SizeDatum: ... @overload def title(self, _: None, **kwds) -> SizeDatum: ... @overload def type(self, _: Type_T, **kwds) -> SizeDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class SizeValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumber ): """ SizeValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "size" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> SizeValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> SizeValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> SizeValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> SizeValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> SizeValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> SizeValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> SizeValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Stroke( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefGradientstringnull, ): r""" Stroke schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "stroke" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Stroke: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Stroke: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Stroke: ... @overload def bandPosition(self, _: float, **kwds) -> Stroke: ... @overload def bin(self, _: bool, **kwds) -> Stroke: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Stroke: ... @overload def bin(self, _: None, **kwds) -> Stroke: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Stroke: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> Stroke: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> Stroke: ... @overload def field(self, _: str, **kwds) -> Stroke: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Stroke: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Stroke: ... @overload def legend(self, _: None, **kwds) -> Stroke: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Stroke: ... @overload def scale(self, _: None, **kwds) -> Stroke: ... @overload def sort(self, _: list[float], **kwds) -> Stroke: ... @overload def sort(self, _: list[str], **kwds) -> Stroke: ... @overload def sort(self, _: list[bool], **kwds) -> Stroke: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Stroke: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Stroke: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Stroke: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Stroke: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Stroke: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Stroke: ... @overload def sort(self, _: None, **kwds) -> Stroke: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Stroke: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Stroke: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Stroke: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Stroke: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Stroke: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Stroke: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Stroke: ... @overload def title(self, _: str, **kwds) -> Stroke: ... @overload def title(self, _: list[str], **kwds) -> Stroke: ... @overload def title(self, _: None, **kwds) -> Stroke: ... @overload def type(self, _: StandardType_T, **kwds) -> Stroke: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class StrokeDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefGradientstringnull ): """ StrokeDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "stroke" @overload def bandPosition(self, _: float, **kwds) -> StrokeDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> StrokeDatum: ... @overload def title(self, _: str, **kwds) -> StrokeDatum: ... @overload def title(self, _: list[str], **kwds) -> StrokeDatum: ... @overload def title(self, _: None, **kwds) -> StrokeDatum: ... @overload def type(self, _: Type_T, **kwds) -> StrokeDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class StrokeValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefGradientstringnull, ): """ StrokeValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefGradientstringnullExprRef`, :class:`ConditionalParameterValueDefGradientstringnullExprRef`, :class:`ConditionalPredicateValueDefGradientstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef`, :class:`Gradient`, :class:`LinearGradient`, :class:`RadialGradient` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "stroke" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeValue: ... @overload def condition( self, _: list[core.ConditionalValueDefGradientstringnullExprRef], **kwds ) -> StrokeValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class StrokeDash( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumberArray ): r""" StrokeDash schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberArrayExprRef`, :class:`ConditionalParameterValueDefnumberArrayExprRef`, :class:`ConditionalPredicateValueDefnumberArrayExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberArrayExprRef`, :class:`ConditionalParameterValueDefnumberArrayExprRef`, :class:`ConditionalPredicateValueDefnumberArrayExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "strokeDash" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> StrokeDash: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> StrokeDash: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> StrokeDash: ... @overload def bandPosition(self, _: float, **kwds) -> StrokeDash: ... @overload def bin(self, _: bool, **kwds) -> StrokeDash: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> StrokeDash: ... @overload def bin(self, _: None, **kwds) -> StrokeDash: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, **kwds, ) -> StrokeDash: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, **kwds, ) -> StrokeDash: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberArrayExprRef], **kwds ) -> StrokeDash: ... @overload def field(self, _: str, **kwds) -> StrokeDash: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> StrokeDash: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> StrokeDash: ... @overload def legend(self, _: None, **kwds) -> StrokeDash: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeDash: ... @overload def scale(self, _: None, **kwds) -> StrokeDash: ... @overload def sort(self, _: list[float], **kwds) -> StrokeDash: ... @overload def sort(self, _: list[str], **kwds) -> StrokeDash: ... @overload def sort(self, _: list[bool], **kwds) -> StrokeDash: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> StrokeDash: ... @overload def sort(self, _: SortOrder_T, **kwds) -> StrokeDash: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> StrokeDash: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> StrokeDash: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> StrokeDash: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> StrokeDash: ... @overload def sort(self, _: None, **kwds) -> StrokeDash: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> StrokeDash: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> StrokeDash: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> StrokeDash: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> StrokeDash: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> StrokeDash: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> StrokeDash: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> StrokeDash: ... @overload def title(self, _: str, **kwds) -> StrokeDash: ... @overload def title(self, _: list[str], **kwds) -> StrokeDash: ... @overload def title(self, _: None, **kwds) -> StrokeDash: ... @overload def type(self, _: StandardType_T, **kwds) -> StrokeDash: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class StrokeDashDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumberArray ): """ StrokeDashDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberArrayExprRef`, :class:`ConditionalParameterValueDefnumberArrayExprRef`, :class:`ConditionalPredicateValueDefnumberArrayExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberArrayExprRef`, :class:`ConditionalParameterValueDefnumberArrayExprRef`, :class:`ConditionalPredicateValueDefnumberArrayExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "strokeDash" @overload def bandPosition(self, _: float, **kwds) -> StrokeDashDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, **kwds, ) -> StrokeDashDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, **kwds, ) -> StrokeDashDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberArrayExprRef], **kwds ) -> StrokeDashDatum: ... @overload def title(self, _: str, **kwds) -> StrokeDashDatum: ... @overload def title(self, _: list[str], **kwds) -> StrokeDashDatum: ... @overload def title(self, _: None, **kwds) -> StrokeDashDatum: ... @overload def type(self, _: Type_T, **kwds) -> StrokeDashDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class StrokeDashValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumberArray ): """ StrokeDashValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefnumberArrayExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberArrayExprRef`, :class:`ConditionalPredicateValueDefnumberArrayExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberArrayExprRef`, :class:`ConditionalParameterValueDefnumberArrayExprRef`, :class:`ConditionalPredicateValueDefnumberArrayExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, Sequence[float], :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "strokeDash" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeDashValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeDashValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeDashValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeDashValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, **kwds, ) -> StrokeDashValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, **kwds, ) -> StrokeDashValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberArrayExprRef], **kwds ) -> StrokeDashValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class StrokeOpacity( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumber ): r""" StrokeOpacity schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "strokeOpacity" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> StrokeOpacity: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> StrokeOpacity: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> StrokeOpacity: ... @overload def bandPosition(self, _: float, **kwds) -> StrokeOpacity: ... @overload def bin(self, _: bool, **kwds) -> StrokeOpacity: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def bin(self, _: None, **kwds) -> StrokeOpacity: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> StrokeOpacity: ... @overload def field(self, _: str, **kwds) -> StrokeOpacity: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def legend(self, _: None, **kwds) -> StrokeOpacity: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def scale(self, _: None, **kwds) -> StrokeOpacity: ... @overload def sort(self, _: list[float], **kwds) -> StrokeOpacity: ... @overload def sort(self, _: list[str], **kwds) -> StrokeOpacity: ... @overload def sort(self, _: list[bool], **kwds) -> StrokeOpacity: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> StrokeOpacity: ... @overload def sort(self, _: SortOrder_T, **kwds) -> StrokeOpacity: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> StrokeOpacity: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> StrokeOpacity: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def sort(self, _: None, **kwds) -> StrokeOpacity: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> StrokeOpacity: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> StrokeOpacity: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> StrokeOpacity: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> StrokeOpacity: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> StrokeOpacity: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> StrokeOpacity: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> StrokeOpacity: ... @overload def title(self, _: str, **kwds) -> StrokeOpacity: ... @overload def title(self, _: list[str], **kwds) -> StrokeOpacity: ... @overload def title(self, _: None, **kwds) -> StrokeOpacity: ... @overload def type(self, _: StandardType_T, **kwds) -> StrokeOpacity: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class StrokeOpacityDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumber ): """ StrokeOpacityDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "strokeOpacity" @overload def bandPosition(self, _: float, **kwds) -> StrokeOpacityDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacityDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacityDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> StrokeOpacityDatum: ... @overload def title(self, _: str, **kwds) -> StrokeOpacityDatum: ... @overload def title(self, _: list[str], **kwds) -> StrokeOpacityDatum: ... @overload def title(self, _: None, **kwds) -> StrokeOpacityDatum: ... @overload def type(self, _: Type_T, **kwds) -> StrokeOpacityDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class StrokeOpacityValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumber ): """ StrokeOpacityValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "strokeOpacity" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeOpacityValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeOpacityValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeOpacityValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeOpacityValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacityValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeOpacityValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> StrokeOpacityValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class StrokeWidth( FieldChannelMixin, core.FieldOrDatumDefWithConditionMarkPropFieldDefnumber ): r""" StrokeWidth schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. legend : dict, None, :class:`Legend` An object defining properties of the legend. If ``null``, the legend for the encoding channel will be removed. **Default value:** If undefined, default `legend properties `__ are applied. **See also:** `legend `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "strokeWidth" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> StrokeWidth: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> StrokeWidth: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> StrokeWidth: ... @overload def bandPosition(self, _: float, **kwds) -> StrokeWidth: ... @overload def bin(self, _: bool, **kwds) -> StrokeWidth: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def bin(self, _: None, **kwds) -> StrokeWidth: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> StrokeWidth: ... @overload def field(self, _: str, **kwds) -> StrokeWidth: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def legend( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, clipHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, columnPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, columns: Optional[dict | float | Parameter | SchemaBase] = Undefined, cornerRadius: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, direction: Optional[SchemaBase | Orientation_T] = Undefined, fillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, gradientLength: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gradientStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gradientStrokeWidth: Optional[ dict | float | Parameter | SchemaBase ] = Undefined, gradientThickness: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridAlign: Optional[dict | Parameter | SchemaBase | LayoutAlign_T] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendX: Optional[dict | float | Parameter | SchemaBase] = Undefined, legendY: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[SchemaBase | LegendOrient_T] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, rowPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, strokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, symbolDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolFillColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolStrokeColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, symbolStrokeWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, symbolType: Optional[str | dict | Parameter | SchemaBase] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOrient: Optional[dict | Parameter | SchemaBase | Orient_T] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, type: Optional[Literal["symbol", "gradient"]] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def legend(self, _: None, **kwds) -> StrokeWidth: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def scale(self, _: None, **kwds) -> StrokeWidth: ... @overload def sort(self, _: list[float], **kwds) -> StrokeWidth: ... @overload def sort(self, _: list[str], **kwds) -> StrokeWidth: ... @overload def sort(self, _: list[bool], **kwds) -> StrokeWidth: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> StrokeWidth: ... @overload def sort(self, _: SortOrder_T, **kwds) -> StrokeWidth: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> StrokeWidth: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> StrokeWidth: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def sort(self, _: None, **kwds) -> StrokeWidth: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> StrokeWidth: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> StrokeWidth: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> StrokeWidth: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> StrokeWidth: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> StrokeWidth: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> StrokeWidth: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> StrokeWidth: ... @overload def title(self, _: str, **kwds) -> StrokeWidth: ... @overload def title(self, _: list[str], **kwds) -> StrokeWidth: ... @overload def title(self, _: None, **kwds) -> StrokeWidth: ... @overload def type(self, _: StandardType_T, **kwds) -> StrokeWidth: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, legend=legend, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class StrokeWidthDatum( DatumChannelMixin, core.FieldOrDatumDefWithConditionDatumDefnumber ): """ StrokeWidthDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "strokeWidth" @overload def bandPosition(self, _: float, **kwds) -> StrokeWidthDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidthDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidthDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> StrokeWidthDatum: ... @overload def title(self, _: str, **kwds) -> StrokeWidthDatum: ... @overload def title(self, _: list[str], **kwds) -> StrokeWidthDatum: ... @overload def title(self, _: None, **kwds) -> StrokeWidthDatum: ... @overload def type(self, _: Type_T, **kwds) -> StrokeWidthDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, title=title, type=type, **kwds, ) @with_property_setters class StrokeWidthValue( ValueChannelMixin, core.ValueDefWithConditionMarkPropFieldOrDatumDefnumber ): """ StrokeWidthValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, Sequence[dict, :class:`ConditionalValueDefnumberExprRef`, :class:`ConditionalParameterValueDefnumberExprRef`, :class:`ConditionalPredicateValueDefnumberExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : dict, float, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "strokeWidth" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeWidthValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeWidthValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> StrokeWidthValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> StrokeWidthValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidthValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[dict | float | Parameter | SchemaBase] = Undefined, **kwds, ) -> StrokeWidthValue: ... @overload def condition( self, _: list[core.ConditionalValueDefnumberExprRef], **kwds ) -> StrokeWidthValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Text(FieldChannelMixin, core.FieldOrDatumDefWithConditionStringFieldDefText): r""" Text schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefTextExprRef`, :class:`ConditionalParameterValueDefTextExprRef`, :class:`ConditionalPredicateValueDefTextExprRef`, Sequence[dict, :class:`ConditionalValueDefTextExprRef`, :class:`ConditionalParameterValueDefTextExprRef`, :class:`ConditionalPredicateValueDefTextExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. format : str, dict, :class:`Dict` When used with the default ``"number"`` and ``"time"`` format type, the text formatting pattern for labels of guides (axes, legends, headers) and text marks. * If the format type is ``"number"`` (e.g., for quantitative fields), this is D3's `number format pattern `__. * If the format type is ``"time"`` (e.g., for temporal fields), this is D3's `time format pattern `__. See the `format documentation `__ for more examples. When used with a `custom formatType `__, this value will be passed as ``format`` alongside ``datum.value`` to the registered function. **Default value:** Derived from `numberFormat `__ config for number format and from `timeFormat `__ config for time format. formatType : str The format type for labels. One of ``"number"``, ``"time"``, or a `registered custom format type `__. **Default value:** * ``"time"`` for temporal fields and ordinal and nominal fields with ``timeUnit``. * ``"number"`` for quantitative fields as well as ordinal and nominal fields without ``timeUnit``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "text" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Text: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Text: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Text: ... @overload def bandPosition(self, _: float, **kwds) -> Text: ... @overload def bin(self, _: bool, **kwds) -> Text: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Text: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Text: ... @overload def bin(self, _: None, **kwds) -> Text: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[ str | dict | Parameter | SchemaBase | Sequence[str] ] = Undefined, **kwds, ) -> Text: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[ str | dict | Parameter | SchemaBase | Sequence[str] ] = Undefined, **kwds, ) -> Text: ... @overload def condition( self, _: list[core.ConditionalValueDefTextExprRef], **kwds ) -> Text: ... @overload def field(self, _: str, **kwds) -> Text: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Text: ... @overload def format(self, _: str, **kwds) -> Text: ... @overload def format(self, _: dict, **kwds) -> Text: ... @overload def formatType(self, _: str, **kwds) -> Text: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Text: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Text: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Text: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Text: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Text: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Text: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Text: ... @overload def title(self, _: str, **kwds) -> Text: ... @overload def title(self, _: list[str], **kwds) -> Text: ... @overload def title(self, _: None, **kwds) -> Text: ... @overload def type(self, _: StandardType_T, **kwds) -> Text: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, format=format, formatType=formatType, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class TextDatum(DatumChannelMixin, core.FieldOrDatumDefWithConditionStringDatumDefText): """ TextDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. condition : dict, :class:`ConditionalValueDefTextExprRef`, :class:`ConditionalParameterValueDefTextExprRef`, :class:`ConditionalPredicateValueDefTextExprRef`, Sequence[dict, :class:`ConditionalValueDefTextExprRef`, :class:`ConditionalParameterValueDefTextExprRef`, :class:`ConditionalPredicateValueDefTextExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. format : str, dict, :class:`Dict` When used with the default ``"number"`` and ``"time"`` format type, the text formatting pattern for labels of guides (axes, legends, headers) and text marks. * If the format type is ``"number"`` (e.g., for quantitative fields), this is D3's `number format pattern `__. * If the format type is ``"time"`` (e.g., for temporal fields), this is D3's `time format pattern `__. See the `format documentation `__ for more examples. When used with a `custom formatType `__, this value will be passed as ``format`` alongside ``datum.value`` to the registered function. **Default value:** Derived from `numberFormat `__ config for number format and from `timeFormat `__ config for time format. formatType : str The format type for labels. One of ``"number"``, ``"time"``, or a `registered custom format type `__. **Default value:** * ``"time"`` for temporal fields and ordinal and nominal fields with ``timeUnit``. * ``"number"`` for quantitative fields as well as ordinal and nominal fields without ``timeUnit``. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "text" @overload def bandPosition(self, _: float, **kwds) -> TextDatum: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[ str | dict | Parameter | SchemaBase | Sequence[str] ] = Undefined, **kwds, ) -> TextDatum: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[ str | dict | Parameter | SchemaBase | Sequence[str] ] = Undefined, **kwds, ) -> TextDatum: ... @overload def condition( self, _: list[core.ConditionalValueDefTextExprRef], **kwds ) -> TextDatum: ... @overload def format(self, _: str, **kwds) -> TextDatum: ... @overload def format(self, _: dict, **kwds) -> TextDatum: ... @overload def formatType(self, _: str, **kwds) -> TextDatum: ... @overload def title(self, _: str, **kwds) -> TextDatum: ... @overload def title(self, _: list[str], **kwds) -> TextDatum: ... @overload def title(self, _: None, **kwds) -> TextDatum: ... @overload def type(self, _: Type_T, **kwds) -> TextDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, condition=condition, format=format, formatType=formatType, title=title, type=type, **kwds, ) @with_property_setters class TextValue(ValueChannelMixin, core.ValueDefWithConditionStringFieldDefText): """ TextValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalStringFieldDef`, :class:`ConditionalValueDefTextExprRef`, :class:`ConditionalParameterStringFieldDef`, :class:`ConditionalPredicateStringFieldDef`, :class:`ConditionalParameterValueDefTextExprRef`, :class:`ConditionalPredicateValueDefTextExprRef`, Sequence[dict, :class:`ConditionalValueDefTextExprRef`, :class:`ConditionalParameterValueDefTextExprRef`, :class:`ConditionalPredicateValueDefTextExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, :class:`Text`, Sequence[str], :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "text" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> TextValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, param: Optional[str | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> TextValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[ str | dict | Parameter | SchemaBase | Sequence[str] ] = Undefined, **kwds, ) -> TextValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[ str | dict | Parameter | SchemaBase | Sequence[str] ] = Undefined, **kwds, ) -> TextValue: ... @overload def condition( self, _: list[core.ConditionalValueDefTextExprRef], **kwds ) -> TextValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Theta(FieldChannelMixin, core.PositionFieldDefBase): r""" Theta schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "theta" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Theta: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Theta: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Theta: ... @overload def bandPosition(self, _: float, **kwds) -> Theta: ... @overload def bin(self, _: bool, **kwds) -> Theta: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Theta: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Theta: ... @overload def bin(self, _: None, **kwds) -> Theta: ... @overload def field(self, _: str, **kwds) -> Theta: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Theta: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Theta: ... @overload def scale(self, _: None, **kwds) -> Theta: ... @overload def sort(self, _: list[float], **kwds) -> Theta: ... @overload def sort(self, _: list[str], **kwds) -> Theta: ... @overload def sort(self, _: list[bool], **kwds) -> Theta: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Theta: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Theta: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Theta: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Theta: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Theta: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Theta: ... @overload def sort(self, _: None, **kwds) -> Theta: ... @overload def stack(self, _: StackOffset_T, **kwds) -> Theta: ... @overload def stack(self, _: None, **kwds) -> Theta: ... @overload def stack(self, _: bool, **kwds) -> Theta: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Theta: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Theta: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Theta: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Theta: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Theta: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Theta: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Theta: ... @overload def title(self, _: str, **kwds) -> Theta: ... @overload def title(self, _: list[str], **kwds) -> Theta: ... @overload def title(self, _: None, **kwds) -> Theta: ... @overload def type(self, _: StandardType_T, **kwds) -> Theta: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, scale=scale, sort=sort, stack=stack, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class ThetaDatum(DatumChannelMixin, core.PositionDatumDefBase): """ ThetaDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "theta" @overload def bandPosition(self, _: float, **kwds) -> ThetaDatum: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> ThetaDatum: ... @overload def scale(self, _: None, **kwds) -> ThetaDatum: ... @overload def stack(self, _: StackOffset_T, **kwds) -> ThetaDatum: ... @overload def stack(self, _: None, **kwds) -> ThetaDatum: ... @overload def stack(self, _: bool, **kwds) -> ThetaDatum: ... @overload def title(self, _: str, **kwds) -> ThetaDatum: ... @overload def title(self, _: list[str], **kwds) -> ThetaDatum: ... @overload def title(self, _: None, **kwds) -> ThetaDatum: ... @overload def type(self, _: Type_T, **kwds) -> ThetaDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, scale=scale, stack=stack, title=title, type=type, **kwds, ) @with_property_setters class ThetaValue(ValueChannelMixin, core.PositionValueDef): """ ThetaValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "theta" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Theta2(FieldChannelMixin, core.SecondaryFieldDef): r""" Theta2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "theta2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Theta2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Theta2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Theta2: ... @overload def bandPosition(self, _: float, **kwds) -> Theta2: ... @overload def bin(self, _: None, **kwds) -> Theta2: ... @overload def field(self, _: str, **kwds) -> Theta2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Theta2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Theta2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Theta2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Theta2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Theta2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Theta2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Theta2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Theta2: ... @overload def title(self, _: str, **kwds) -> Theta2: ... @overload def title(self, _: list[str], **kwds) -> Theta2: ... @overload def title(self, _: None, **kwds) -> Theta2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class Theta2Datum(DatumChannelMixin, core.DatumDef): """ Theta2Datum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "theta2" @overload def bandPosition(self, _: float, **kwds) -> Theta2Datum: ... @overload def title(self, _: str, **kwds) -> Theta2Datum: ... @overload def title(self, _: list[str], **kwds) -> Theta2Datum: ... @overload def title(self, _: None, **kwds) -> Theta2Datum: ... @overload def type(self, _: Type_T, **kwds) -> Theta2Datum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Theta2Value(ValueChannelMixin, core.PositionValueDef): """ Theta2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "theta2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Tooltip(FieldChannelMixin, core.StringFieldDefWithCondition): r""" Tooltip schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`, Sequence[dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. format : str, dict, :class:`Dict` When used with the default ``"number"`` and ``"time"`` format type, the text formatting pattern for labels of guides (axes, legends, headers) and text marks. * If the format type is ``"number"`` (e.g., for quantitative fields), this is D3's `number format pattern `__. * If the format type is ``"time"`` (e.g., for temporal fields), this is D3's `time format pattern `__. See the `format documentation `__ for more examples. When used with a `custom formatType `__, this value will be passed as ``format`` alongside ``datum.value`` to the registered function. **Default value:** Derived from `numberFormat `__ config for number format and from `timeFormat `__ config for time format. formatType : str The format type for labels. One of ``"number"``, ``"time"``, or a `registered custom format type `__. **Default value:** * ``"time"`` for temporal fields and ordinal and nominal fields with ``timeUnit``. * ``"number"`` for quantitative fields as well as ordinal and nominal fields without ``timeUnit``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "tooltip" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Tooltip: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Tooltip: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Tooltip: ... @overload def bandPosition(self, _: float, **kwds) -> Tooltip: ... @overload def bin(self, _: bool, **kwds) -> Tooltip: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Tooltip: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Tooltip: ... @overload def bin(self, _: None, **kwds) -> Tooltip: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Tooltip: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Tooltip: ... @overload def condition( self, _: list[core.ConditionalValueDefstringExprRef], **kwds ) -> Tooltip: ... @overload def field(self, _: str, **kwds) -> Tooltip: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Tooltip: ... @overload def format(self, _: str, **kwds) -> Tooltip: ... @overload def format(self, _: dict, **kwds) -> Tooltip: ... @overload def formatType(self, _: str, **kwds) -> Tooltip: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Tooltip: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Tooltip: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Tooltip: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Tooltip: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Tooltip: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Tooltip: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Tooltip: ... @overload def title(self, _: str, **kwds) -> Tooltip: ... @overload def title(self, _: list[str], **kwds) -> Tooltip: ... @overload def title(self, _: None, **kwds) -> Tooltip: ... @overload def type(self, _: StandardType_T, **kwds) -> Tooltip: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, format=format, formatType=formatType, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class TooltipValue(ValueChannelMixin, core.StringValueDefWithCondition): """ TooltipValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "tooltip" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> TooltipValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> TooltipValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> TooltipValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> TooltipValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> TooltipValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> TooltipValue: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> TooltipValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class Url(FieldChannelMixin, core.StringFieldDefWithCondition): r""" Url schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. condition : dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`, Sequence[dict, :class:`ConditionalValueDefstringExprRef`, :class:`ConditionalParameterValueDefstringExprRef`, :class:`ConditionalPredicateValueDefstringExprRef`] One or more value definition(s) with `a parameter or a test predicate `__. **Note:** A field definition's ``condition`` property can only contain `conditional value definitions `__ since Vega-Lite only allows at most one encoded field per encoding channel. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. format : str, dict, :class:`Dict` When used with the default ``"number"`` and ``"time"`` format type, the text formatting pattern for labels of guides (axes, legends, headers) and text marks. * If the format type is ``"number"`` (e.g., for quantitative fields), this is D3's `number format pattern `__. * If the format type is ``"time"`` (e.g., for temporal fields), this is D3's `time format pattern `__. See the `format documentation `__ for more examples. When used with a `custom formatType `__, this value will be passed as ``format`` alongside ``datum.value`` to the registered function. **Default value:** Derived from `numberFormat `__ config for number format and from `timeFormat `__ config for time format. formatType : str The format type for labels. One of ``"number"``, ``"time"``, or a `registered custom format type `__. **Default value:** * ``"time"`` for temporal fields and ordinal and nominal fields with ``timeUnit``. * ``"number"`` for quantitative fields as well as ordinal and nominal fields without ``timeUnit``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "url" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Url: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Url: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Url: ... @overload def bandPosition(self, _: float, **kwds) -> Url: ... @overload def bin(self, _: bool, **kwds) -> Url: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Url: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Url: ... @overload def bin(self, _: None, **kwds) -> Url: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Url: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Url: ... @overload def condition( self, _: list[core.ConditionalValueDefstringExprRef], **kwds ) -> Url: ... @overload def field(self, _: str, **kwds) -> Url: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Url: ... @overload def format(self, _: str, **kwds) -> Url: ... @overload def format(self, _: dict, **kwds) -> Url: ... @overload def formatType(self, _: str, **kwds) -> Url: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Url: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Url: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Url: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Url: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Url: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Url: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Url: ... @overload def title(self, _: str, **kwds) -> Url: ... @overload def title(self, _: list[str], **kwds) -> Url: ... @overload def title(self, _: None, **kwds) -> Url: ... @overload def type(self, _: StandardType_T, **kwds) -> Url: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, condition=condition, field=field, format=format, formatType=formatType, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class UrlValue(ValueChannelMixin, core.StringValueDefWithCondition): """ UrlValue schema wrapper. Parameters ---------- condition : dict, :class:`ConditionalMarkPropFieldOrDatumDef`, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterMarkPropFieldOrDatumDef`, :class:`ConditionalPredicateMarkPropFieldOrDatumDef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`, Sequence[dict, :class:`ConditionalValueDefstringnullExprRef`, :class:`ConditionalParameterValueDefstringnullExprRef`, :class:`ConditionalPredicateValueDefstringnullExprRef`] A field definition or one or more value definition(s) with a parameter predicate. value : str, dict, None, :class:`ExprRef` A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "url" @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> UrlValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, test: Optional[str | dict | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> UrlValue: ... @overload def condition( self, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, empty: Optional[bool] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ) -> UrlValue: ... @overload def condition( self, bandPosition: Optional[float] = Undefined, datum: Optional[ str | bool | dict | None | float | Parameter | SchemaBase ] = Undefined, empty: Optional[bool] = Undefined, legend: Optional[dict | None | SchemaBase] = Undefined, param: Optional[str | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ) -> UrlValue: ... @overload def condition( self, test: Optional[str | dict | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> UrlValue: ... @overload def condition( self, empty: Optional[bool] = Undefined, param: Optional[str | SchemaBase] = Undefined, value: Optional[str | dict | None | Parameter | SchemaBase] = Undefined, **kwds, ) -> UrlValue: ... @overload def condition( self, _: list[core.ConditionalValueDefstringnullExprRef], **kwds ) -> UrlValue: ... def __init__( self, value, condition: Optional[ dict | SchemaBase | Sequence[dict | SchemaBase] ] = Undefined, **kwds, ): super().__init__(value=value, condition=condition, **kwds) @with_property_setters class X(FieldChannelMixin, core.PositionFieldDef): r""" X schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. axis : dict, None, :class:`Axis` An object defining properties of axis's gridlines, ticks and labels. If ``null``, the axis for the encoding channel will be removed. **Default value:** If undefined, default `axis properties `__ are applied. **See also:** `axis `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. impute : dict, None, :class:`ImputeParams` An object defining the properties of the Impute Operation to be applied. The field value of the other positional channel is taken as ``key`` of the ``Impute`` Operation. The field of the ``color`` channel if specified is used as ``groupby`` of the ``Impute`` Operation. **See also:** `impute `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "x" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> X: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> X: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> X: ... @overload def axis( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, bandPosition: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, domain: Optional[bool] = Undefined, domainCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, domainColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, domainDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, domainDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, grid: Optional[bool] = Undefined, gridCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, gridColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gridDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, gridDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelBound: Optional[bool | dict | float | Parameter | SchemaBase] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFlush: Optional[bool | float] = Undefined, labelFlushOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, maxExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, minExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[dict | Parameter | SchemaBase | AxisOrient_T] = Undefined, position: Optional[dict | float | Parameter | SchemaBase] = Undefined, style: Optional[str | Sequence[str]] = Undefined, tickBand: Optional[ dict | Parameter | SchemaBase | Literal["center", "extent"] ] = Undefined, tickCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, tickColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, tickDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickExtra: Optional[bool] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickRound: Optional[bool] = Undefined, tickSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, ticks: Optional[bool] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleX: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleY: Optional[dict | float | Parameter | SchemaBase] = Undefined, translate: Optional[dict | float | Parameter | SchemaBase] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> X: ... @overload def axis(self, _: None, **kwds) -> X: ... @overload def bandPosition(self, _: float, **kwds) -> X: ... @overload def bin(self, _: bool, **kwds) -> X: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> X: ... @overload def bin(self, _: Literal["binned"], **kwds) -> X: ... @overload def bin(self, _: None, **kwds) -> X: ... @overload def field(self, _: str, **kwds) -> X: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> X: ... @overload def impute( self, frame: Optional[Sequence[None | float]] = Undefined, keyvals: Optional[dict | SchemaBase | Sequence[Any]] = Undefined, method: Optional[SchemaBase | ImputeMethod_T] = Undefined, value: Optional[Any] = Undefined, **kwds, ) -> X: ... @overload def impute(self, _: None, **kwds) -> X: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> X: ... @overload def scale(self, _: None, **kwds) -> X: ... @overload def sort(self, _: list[float], **kwds) -> X: ... @overload def sort(self, _: list[str], **kwds) -> X: ... @overload def sort(self, _: list[bool], **kwds) -> X: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> X: ... @overload def sort(self, _: SortOrder_T, **kwds) -> X: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> X: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> X: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> X: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> X: ... @overload def sort(self, _: None, **kwds) -> X: ... @overload def stack(self, _: StackOffset_T, **kwds) -> X: ... @overload def stack(self, _: None, **kwds) -> X: ... @overload def stack(self, _: bool, **kwds) -> X: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> X: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> X: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> X: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> X: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> X: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> X: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> X: ... @overload def title(self, _: str, **kwds) -> X: ... @overload def title(self, _: list[str], **kwds) -> X: ... @overload def title(self, _: None, **kwds) -> X: ... @overload def type(self, _: StandardType_T, **kwds) -> X: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, axis: Optional[dict | None | SchemaBase] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, impute: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, axis=axis, bandPosition=bandPosition, bin=bin, field=field, impute=impute, scale=scale, sort=sort, stack=stack, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class XDatum(DatumChannelMixin, core.PositionDatumDef): """ XDatum schema wrapper. Parameters ---------- axis : dict, None, :class:`Axis` An object defining properties of axis's gridlines, ticks and labels. If ``null``, the axis for the encoding channel will be removed. **Default value:** If undefined, default `axis properties `__ are applied. **See also:** `axis `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. impute : dict, None, :class:`ImputeParams` An object defining the properties of the Impute Operation to be applied. The field value of the other positional channel is taken as ``key`` of the ``Impute`` Operation. The field of the ``color`` channel if specified is used as ``groupby`` of the ``Impute`` Operation. **See also:** `impute `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "x" @overload def axis( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, bandPosition: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, domain: Optional[bool] = Undefined, domainCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, domainColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, domainDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, domainDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, grid: Optional[bool] = Undefined, gridCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, gridColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gridDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, gridDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelBound: Optional[bool | dict | float | Parameter | SchemaBase] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFlush: Optional[bool | float] = Undefined, labelFlushOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, maxExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, minExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[dict | Parameter | SchemaBase | AxisOrient_T] = Undefined, position: Optional[dict | float | Parameter | SchemaBase] = Undefined, style: Optional[str | Sequence[str]] = Undefined, tickBand: Optional[ dict | Parameter | SchemaBase | Literal["center", "extent"] ] = Undefined, tickCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, tickColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, tickDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickExtra: Optional[bool] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickRound: Optional[bool] = Undefined, tickSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, ticks: Optional[bool] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleX: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleY: Optional[dict | float | Parameter | SchemaBase] = Undefined, translate: Optional[dict | float | Parameter | SchemaBase] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> XDatum: ... @overload def axis(self, _: None, **kwds) -> XDatum: ... @overload def bandPosition(self, _: float, **kwds) -> XDatum: ... @overload def impute( self, frame: Optional[Sequence[None | float]] = Undefined, keyvals: Optional[dict | SchemaBase | Sequence[Any]] = Undefined, method: Optional[SchemaBase | ImputeMethod_T] = Undefined, value: Optional[Any] = Undefined, **kwds, ) -> XDatum: ... @overload def impute(self, _: None, **kwds) -> XDatum: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> XDatum: ... @overload def scale(self, _: None, **kwds) -> XDatum: ... @overload def stack(self, _: StackOffset_T, **kwds) -> XDatum: ... @overload def stack(self, _: None, **kwds) -> XDatum: ... @overload def stack(self, _: bool, **kwds) -> XDatum: ... @overload def title(self, _: str, **kwds) -> XDatum: ... @overload def title(self, _: list[str], **kwds) -> XDatum: ... @overload def title(self, _: None, **kwds) -> XDatum: ... @overload def type(self, _: Type_T, **kwds) -> XDatum: ... def __init__( self, datum, axis: Optional[dict | None | SchemaBase] = Undefined, bandPosition: Optional[float] = Undefined, impute: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, axis=axis, bandPosition=bandPosition, impute=impute, scale=scale, stack=stack, title=title, type=type, **kwds, ) @with_property_setters class XValue(ValueChannelMixin, core.PositionValueDef): """ XValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "x" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class X2(FieldChannelMixin, core.SecondaryFieldDef): r""" X2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "x2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> X2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> X2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> X2: ... @overload def bandPosition(self, _: float, **kwds) -> X2: ... @overload def bin(self, _: None, **kwds) -> X2: ... @overload def field(self, _: str, **kwds) -> X2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> X2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> X2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> X2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> X2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> X2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> X2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> X2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> X2: ... @overload def title(self, _: str, **kwds) -> X2: ... @overload def title(self, _: list[str], **kwds) -> X2: ... @overload def title(self, _: None, **kwds) -> X2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class X2Datum(DatumChannelMixin, core.DatumDef): """ X2Datum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "x2" @overload def bandPosition(self, _: float, **kwds) -> X2Datum: ... @overload def title(self, _: str, **kwds) -> X2Datum: ... @overload def title(self, _: list[str], **kwds) -> X2Datum: ... @overload def title(self, _: None, **kwds) -> X2Datum: ... @overload def type(self, _: Type_T, **kwds) -> X2Datum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class X2Value(ValueChannelMixin, core.PositionValueDef): """ X2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "x2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class XError(FieldChannelMixin, core.SecondaryFieldDef): r""" XError schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "xError" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> XError: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> XError: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> XError: ... @overload def bandPosition(self, _: float, **kwds) -> XError: ... @overload def bin(self, _: None, **kwds) -> XError: ... @overload def field(self, _: str, **kwds) -> XError: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> XError: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> XError: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> XError: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> XError: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> XError: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> XError: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> XError: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> XError: ... @overload def title(self, _: str, **kwds) -> XError: ... @overload def title(self, _: list[str], **kwds) -> XError: ... @overload def title(self, _: None, **kwds) -> XError: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class XErrorValue(ValueChannelMixin, core.ValueDefnumber): """ XErrorValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : float A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "xError" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class XError2(FieldChannelMixin, core.SecondaryFieldDef): r""" XError2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "xError2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> XError2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> XError2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> XError2: ... @overload def bandPosition(self, _: float, **kwds) -> XError2: ... @overload def bin(self, _: None, **kwds) -> XError2: ... @overload def field(self, _: str, **kwds) -> XError2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> XError2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> XError2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> XError2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> XError2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> XError2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> XError2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> XError2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> XError2: ... @overload def title(self, _: str, **kwds) -> XError2: ... @overload def title(self, _: list[str], **kwds) -> XError2: ... @overload def title(self, _: None, **kwds) -> XError2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class XError2Value(ValueChannelMixin, core.ValueDefnumber): """ XError2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : float A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "xError2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class XOffset(FieldChannelMixin, core.ScaleFieldDef): r""" XOffset schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "xOffset" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> XOffset: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> XOffset: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> XOffset: ... @overload def bandPosition(self, _: float, **kwds) -> XOffset: ... @overload def bin(self, _: bool, **kwds) -> XOffset: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> XOffset: ... @overload def bin(self, _: None, **kwds) -> XOffset: ... @overload def field(self, _: str, **kwds) -> XOffset: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> XOffset: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> XOffset: ... @overload def scale(self, _: None, **kwds) -> XOffset: ... @overload def sort(self, _: list[float], **kwds) -> XOffset: ... @overload def sort(self, _: list[str], **kwds) -> XOffset: ... @overload def sort(self, _: list[bool], **kwds) -> XOffset: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> XOffset: ... @overload def sort(self, _: SortOrder_T, **kwds) -> XOffset: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> XOffset: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> XOffset: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> XOffset: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> XOffset: ... @overload def sort(self, _: None, **kwds) -> XOffset: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> XOffset: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> XOffset: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> XOffset: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> XOffset: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> XOffset: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> XOffset: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> XOffset: ... @overload def title(self, _: str, **kwds) -> XOffset: ... @overload def title(self, _: list[str], **kwds) -> XOffset: ... @overload def title(self, _: None, **kwds) -> XOffset: ... @overload def type(self, _: StandardType_T, **kwds) -> XOffset: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class XOffsetDatum(DatumChannelMixin, core.ScaleDatumDef): """ XOffsetDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "xOffset" @overload def bandPosition(self, _: float, **kwds) -> XOffsetDatum: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> XOffsetDatum: ... @overload def scale(self, _: None, **kwds) -> XOffsetDatum: ... @overload def title(self, _: str, **kwds) -> XOffsetDatum: ... @overload def title(self, _: list[str], **kwds) -> XOffsetDatum: ... @overload def title(self, _: None, **kwds) -> XOffsetDatum: ... @overload def type(self, _: Type_T, **kwds) -> XOffsetDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, scale=scale, title=title, type=type, **kwds, ) @with_property_setters class XOffsetValue(ValueChannelMixin, core.ValueDefnumber): """ XOffsetValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : float A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "xOffset" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Y(FieldChannelMixin, core.PositionFieldDef): r""" Y schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. axis : dict, None, :class:`Axis` An object defining properties of axis's gridlines, ticks and labels. If ``null``, the axis for the encoding channel will be removed. **Default value:** If undefined, default `axis properties `__ are applied. **See also:** `axis `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, Literal['binned'], :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. impute : dict, None, :class:`ImputeParams` An object defining the properties of the Impute Operation to be applied. The field value of the other positional channel is taken as ``key`` of the ``Impute`` Operation. The field of the ``color`` channel if specified is used as ``groupby`` of the ``Impute`` Operation. **See also:** `impute `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "y" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Y: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Y: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Y: ... @overload def axis( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, bandPosition: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, domain: Optional[bool] = Undefined, domainCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, domainColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, domainDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, domainDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, grid: Optional[bool] = Undefined, gridCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, gridColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gridDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, gridDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelBound: Optional[bool | dict | float | Parameter | SchemaBase] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFlush: Optional[bool | float] = Undefined, labelFlushOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, maxExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, minExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[dict | Parameter | SchemaBase | AxisOrient_T] = Undefined, position: Optional[dict | float | Parameter | SchemaBase] = Undefined, style: Optional[str | Sequence[str]] = Undefined, tickBand: Optional[ dict | Parameter | SchemaBase | Literal["center", "extent"] ] = Undefined, tickCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, tickColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, tickDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickExtra: Optional[bool] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickRound: Optional[bool] = Undefined, tickSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, ticks: Optional[bool] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleX: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleY: Optional[dict | float | Parameter | SchemaBase] = Undefined, translate: Optional[dict | float | Parameter | SchemaBase] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> Y: ... @overload def axis(self, _: None, **kwds) -> Y: ... @overload def bandPosition(self, _: float, **kwds) -> Y: ... @overload def bin(self, _: bool, **kwds) -> Y: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> Y: ... @overload def bin(self, _: Literal["binned"], **kwds) -> Y: ... @overload def bin(self, _: None, **kwds) -> Y: ... @overload def field(self, _: str, **kwds) -> Y: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Y: ... @overload def impute( self, frame: Optional[Sequence[None | float]] = Undefined, keyvals: Optional[dict | SchemaBase | Sequence[Any]] = Undefined, method: Optional[SchemaBase | ImputeMethod_T] = Undefined, value: Optional[Any] = Undefined, **kwds, ) -> Y: ... @overload def impute(self, _: None, **kwds) -> Y: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> Y: ... @overload def scale(self, _: None, **kwds) -> Y: ... @overload def sort(self, _: list[float], **kwds) -> Y: ... @overload def sort(self, _: list[str], **kwds) -> Y: ... @overload def sort(self, _: list[bool], **kwds) -> Y: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> Y: ... @overload def sort(self, _: SortOrder_T, **kwds) -> Y: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> Y: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> Y: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Y: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> Y: ... @overload def sort(self, _: None, **kwds) -> Y: ... @overload def stack(self, _: StackOffset_T, **kwds) -> Y: ... @overload def stack(self, _: None, **kwds) -> Y: ... @overload def stack(self, _: bool, **kwds) -> Y: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Y: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Y: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Y: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Y: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Y: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Y: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Y: ... @overload def title(self, _: str, **kwds) -> Y: ... @overload def title(self, _: list[str], **kwds) -> Y: ... @overload def title(self, _: None, **kwds) -> Y: ... @overload def type(self, _: StandardType_T, **kwds) -> Y: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, axis: Optional[dict | None | SchemaBase] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase | Literal["binned"]] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, impute: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, axis=axis, bandPosition=bandPosition, bin=bin, field=field, impute=impute, scale=scale, sort=sort, stack=stack, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class YDatum(DatumChannelMixin, core.PositionDatumDef): """ YDatum schema wrapper. Parameters ---------- axis : dict, None, :class:`Axis` An object defining properties of axis's gridlines, ticks and labels. If ``null``, the axis for the encoding channel will be removed. **Default value:** If undefined, default `axis properties `__ are applied. **See also:** `axis `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. impute : dict, None, :class:`ImputeParams` An object defining the properties of the Impute Operation to be applied. The field value of the other positional channel is taken as ``key`` of the ``Impute`` Operation. The field of the ``color`` channel if specified is used as ``groupby`` of the ``Impute`` Operation. **See also:** `impute `__ documentation. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. stack : bool, None, :class:`StackOffset`, Literal['zero', 'center', 'normalize'] Type of stacking offset if the field should be stacked. ``stack`` is only applicable for ``x``, ``y``, ``theta``, and ``radius`` channels with continuous domains. For example, ``stack`` of ``y`` can be used to customize stacking for a vertical bar chart. ``stack`` can be one of the following values: * ``"zero"`` or ``true``: stacking with baseline offset at zero value of the scale (for creating typical stacked `bar `__ and `area `__ chart). * ``"normalize"`` - stacking with normalized domain (for creating `normalized stacked bar and area charts `__ and pie charts `with percentage tooltip `__). :raw-html:`
` -``"center"`` - stacking with center baseline (for `streamgraph `__). * ``null`` or ``false`` - No-stacking. This will produce layered `bar `__ and area chart. **Default value:** ``zero`` for plots with all of the following conditions are true: (1) the mark is ``bar``, ``area``, or ``arc``; (2) the stacked measure channel (x or y) has a linear scale; (3) At least one of non-position channels mapped to an unaggregated field that is different from x and y. Otherwise, ``null`` by default. **See also:** `stack `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "y" @overload def axis( self, aria: Optional[bool | dict | Parameter | SchemaBase] = Undefined, bandPosition: Optional[dict | float | Parameter | SchemaBase] = Undefined, description: Optional[str | dict | Parameter | SchemaBase] = Undefined, domain: Optional[bool] = Undefined, domainCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, domainColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, domainDash: Optional[ dict | Parameter | SchemaBase | Sequence[float] ] = Undefined, domainDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, format: Optional[str | dict | SchemaBase] = Undefined, formatType: Optional[str] = Undefined, grid: Optional[bool] = Undefined, gridCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, gridColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, gridDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, gridDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, gridWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, labelAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, labelBound: Optional[bool | dict | float | Parameter | SchemaBase] = Undefined, labelColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, labelExpr: Optional[str] = Undefined, labelFlush: Optional[bool | float] = Undefined, labelFlushOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, labelFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, labelLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelOverlap: Optional[ bool | dict | Parameter | SchemaBase | Literal["greedy", "parity"] ] = Undefined, labelPadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, labelSeparation: Optional[dict | float | Parameter | SchemaBase] = Undefined, labels: Optional[bool] = Undefined, maxExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, minExtent: Optional[dict | float | Parameter | SchemaBase] = Undefined, offset: Optional[dict | float | Parameter | SchemaBase] = Undefined, orient: Optional[dict | Parameter | SchemaBase | AxisOrient_T] = Undefined, position: Optional[dict | float | Parameter | SchemaBase] = Undefined, style: Optional[str | Sequence[str]] = Undefined, tickBand: Optional[ dict | Parameter | SchemaBase | Literal["center", "extent"] ] = Undefined, tickCap: Optional[dict | Parameter | SchemaBase | StrokeCap_T] = Undefined, tickColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, tickCount: Optional[ dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, tickDash: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, tickDashOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickExtra: Optional[bool] = Undefined, tickMinStep: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOffset: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickRound: Optional[bool] = Undefined, tickSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, tickWidth: Optional[dict | float | Parameter | SchemaBase] = Undefined, ticks: Optional[bool] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, titleAlign: Optional[dict | Parameter | SchemaBase | Align_T] = Undefined, titleAnchor: Optional[ dict | Parameter | SchemaBase | TitleAnchor_T ] = Undefined, titleAngle: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleBaseline: Optional[ dict | Parameter | SchemaBase | TextBaseline_T ] = Undefined, titleColor: Optional[ str | dict | None | Parameter | SchemaBase | ColorName_T ] = Undefined, titleFont: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontSize: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleFontStyle: Optional[str | dict | Parameter | SchemaBase] = Undefined, titleFontWeight: Optional[ dict | Parameter | SchemaBase | FontWeight_T ] = Undefined, titleLimit: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleLineHeight: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleOpacity: Optional[dict | float | Parameter | SchemaBase] = Undefined, titlePadding: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleX: Optional[dict | float | Parameter | SchemaBase] = Undefined, titleY: Optional[dict | float | Parameter | SchemaBase] = Undefined, translate: Optional[dict | float | Parameter | SchemaBase] = Undefined, values: Optional[ dict | Parameter | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] ] = Undefined, zindex: Optional[float] = Undefined, **kwds, ) -> YDatum: ... @overload def axis(self, _: None, **kwds) -> YDatum: ... @overload def bandPosition(self, _: float, **kwds) -> YDatum: ... @overload def impute( self, frame: Optional[Sequence[None | float]] = Undefined, keyvals: Optional[dict | SchemaBase | Sequence[Any]] = Undefined, method: Optional[SchemaBase | ImputeMethod_T] = Undefined, value: Optional[Any] = Undefined, **kwds, ) -> YDatum: ... @overload def impute(self, _: None, **kwds) -> YDatum: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> YDatum: ... @overload def scale(self, _: None, **kwds) -> YDatum: ... @overload def stack(self, _: StackOffset_T, **kwds) -> YDatum: ... @overload def stack(self, _: None, **kwds) -> YDatum: ... @overload def stack(self, _: bool, **kwds) -> YDatum: ... @overload def title(self, _: str, **kwds) -> YDatum: ... @overload def title(self, _: list[str], **kwds) -> YDatum: ... @overload def title(self, _: None, **kwds) -> YDatum: ... @overload def type(self, _: Type_T, **kwds) -> YDatum: ... def __init__( self, datum, axis: Optional[dict | None | SchemaBase] = Undefined, bandPosition: Optional[float] = Undefined, impute: Optional[dict | None | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, stack: Optional[bool | None | SchemaBase | StackOffset_T] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, axis=axis, bandPosition=bandPosition, impute=impute, scale=scale, stack=stack, title=title, type=type, **kwds, ) @with_property_setters class YValue(ValueChannelMixin, core.PositionValueDef): """ YValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "y" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class Y2(FieldChannelMixin, core.SecondaryFieldDef): r""" Y2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "y2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> Y2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> Y2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> Y2: ... @overload def bandPosition(self, _: float, **kwds) -> Y2: ... @overload def bin(self, _: None, **kwds) -> Y2: ... @overload def field(self, _: str, **kwds) -> Y2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> Y2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> Y2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> Y2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> Y2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> Y2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> Y2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> Y2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> Y2: ... @overload def title(self, _: str, **kwds) -> Y2: ... @overload def title(self, _: list[str], **kwds) -> Y2: ... @overload def title(self, _: None, **kwds) -> Y2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class Y2Datum(DatumChannelMixin, core.DatumDef): """ Y2Datum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "y2" @overload def bandPosition(self, _: float, **kwds) -> Y2Datum: ... @overload def title(self, _: str, **kwds) -> Y2Datum: ... @overload def title(self, _: list[str], **kwds) -> Y2Datum: ... @overload def title(self, _: None, **kwds) -> Y2Datum: ... @overload def type(self, _: Type_T, **kwds) -> Y2Datum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, title=title, type=type, **kwds ) @with_property_setters class Y2Value(ValueChannelMixin, core.PositionValueDef): """ Y2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : dict, float, :class:`ExprRef`, Literal['height', 'width'] A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "y2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class YError(FieldChannelMixin, core.SecondaryFieldDef): r""" YError schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "yError" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> YError: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> YError: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> YError: ... @overload def bandPosition(self, _: float, **kwds) -> YError: ... @overload def bin(self, _: None, **kwds) -> YError: ... @overload def field(self, _: str, **kwds) -> YError: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> YError: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> YError: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> YError: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> YError: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> YError: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> YError: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> YError: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> YError: ... @overload def title(self, _: str, **kwds) -> YError: ... @overload def title(self, _: list[str], **kwds) -> YError: ... @overload def title(self, _: None, **kwds) -> YError: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class YErrorValue(ValueChannelMixin, core.ValueDefnumber): """ YErrorValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : float A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "yError" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class YError2(FieldChannelMixin, core.SecondaryFieldDef): r""" YError2 schema wrapper. A field definition of a secondary channel that shares a scale with another primary channel. For example, ``x2``, ``xError`` and ``xError2`` share the same scale with ``x``. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : None A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. """ _class_is_valid_at_instantiation = False _encoding_name = "yError2" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> YError2: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> YError2: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> YError2: ... @overload def bandPosition(self, _: float, **kwds) -> YError2: ... @overload def bin(self, _: None, **kwds) -> YError2: ... @overload def field(self, _: str, **kwds) -> YError2: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> YError2: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> YError2: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> YError2: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> YError2: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> YError2: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> YError2: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> YError2: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> YError2: ... @overload def title(self, _: str, **kwds) -> YError2: ... @overload def title(self, _: list[str], **kwds) -> YError2: ... @overload def title(self, _: None, **kwds) -> YError2: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[None] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, timeUnit=timeUnit, title=title, **kwds, ) @with_property_setters class YError2Value(ValueChannelMixin, core.ValueDefnumber): """ YError2Value schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : float A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "yError2" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) @with_property_setters class YOffset(FieldChannelMixin, core.ScaleFieldDef): r""" YOffset schema wrapper. Parameters ---------- shorthand : str, dict, Sequence[str], :class:`RepeatRef` shorthand for field, aggregate, and type aggregate : dict, :class:`Aggregate`, :class:`ArgmaxDef`, :class:`ArgminDef`, :class:`NonArgAggregateOp`, Literal['average', 'count', 'distinct', 'max', 'mean', 'median', 'min', 'missing', 'product', 'q1', 'q3', 'ci0', 'ci1', 'stderr', 'stdev', 'stdevp', 'sum', 'valid', 'values', 'variance', 'variancep', 'exponential', 'exponentialb'] Aggregation function for the field (e.g., ``"mean"``, ``"sum"``, ``"median"``, ``"min"``, ``"max"``, ``"count"``). **Default value:** ``undefined`` (None) **See also:** `aggregate `__ documentation. bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. bin : bool, dict, None, :class:`BinParams` A flag for binning a ``quantitative`` field, `an object defining binning parameters `__, or indicating that the data for ``x`` or ``y`` channel are binned before they are imported into Vega-Lite (``"binned"``). * If ``true``, default `binning parameters `__ will be applied. * If ``"binned"``, this indicates that the data for the ``x`` (or ``y``) channel are already binned. You can map the bin-start field to ``x`` (or ``y``) and the bin-end field to ``x2`` (or ``y2``). The scale and axis will be formatted similar to binning in Vega-Lite. To adjust the axis ticks based on the bin step, you can also set the axis's `tickMinStep `__ property. **Default value:** ``false`` **See also:** `bin `__ documentation. field : str, dict, :class:`Field`, :class:`FieldName`, :class:`RepeatRef` **Required.** A string defining the name of the field from which to pull a data value or an object defining iterated values from the `repeat `__ operator. **See also:** `field `__ documentation. **Notes:** 1) Dots (``.``) and brackets (``[`` and ``]``) can be used to access nested objects (e.g., ``"field": "foo.bar"`` and ``"field": "foo['bar']"``). If field names contain dots or brackets but are not nested, you can use ``\\`` to escape dots and brackets (e.g., ``"a\\.b"`` and ``"a\\[0\\]"``). See more details about escaping in the `field documentation `__. 2) ``field`` is not required if ``aggregate`` is ``count``. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. sort : dict, None, :class:`Sort`, Sequence[str], Sequence[bool], Sequence[float], :class:`SortArray`, :class:`SortOrder`, :class:`AllSortString`, :class:`SortByChannel`, :class:`SortByEncoding`, :class:`EncodingSortField`, :class:`SortByChannelDesc`, Sequence[dict, :class:`DateTime`], Literal['-x', '-y', '-color', '-fill', '-stroke', '-strokeWidth', '-size', '-shape', '-fillOpacity', '-strokeOpacity', '-opacity', '-text', 'ascending', 'descending', 'x', 'y', 'color', 'fill', 'stroke', 'strokeWidth', 'size', 'shape', 'fillOpacity', 'strokeOpacity', 'opacity', 'text'] Sort order for the encoded field. For continuous fields (quantitative or temporal), ``sort`` can be either ``"ascending"`` or ``"descending"``. For discrete fields, ``sort`` can be one of the following: * ``"ascending"`` or ``"descending"`` -- for sorting by the values' natural order in JavaScript. * `A string indicating an encoding channel name to sort by `__ (e.g., ``"x"`` or ``"y"``) with an optional minus prefix for descending sort (e.g., ``"-x"`` to sort by x-field, descending). This channel string is short-form of `a sort-by-encoding definition `__. For example, ``"sort": "-x"`` is equivalent to ``"sort": {"encoding": "x", "order": "descending"}``. * `A sort field definition `__ for sorting by another field. * `An array specifying the field values in preferred order `__. In this case, the sort order will obey the values in the array, followed by any unspecified values in their original order. For discrete time field, values in the sort array can be `date-time definition objects `__. In addition, for time units ``"month"`` and ``"day"``, the values can be the month or day names (case insensitive) or their 3-letter initials (e.g., ``"Mon"``, ``"Tue"``). * ``null`` indicating no sort. **Default value:** ``"ascending"`` **Note:** ``null`` and sorting by another channel is not supported for ``row`` and ``column``. **See also:** `sort `__ documentation. timeUnit : dict, :class:`TimeUnit`, :class:`MultiTimeUnit`, :class:`BinnedTimeUnit`, :class:`SingleTimeUnit`, :class:`TimeUnitParams`, :class:`UtcMultiTimeUnit`, :class:`UtcSingleTimeUnit`, :class:`LocalMultiTimeUnit`, :class:`LocalSingleTimeUnit`, Literal['binnedutcyear', 'binnedutcyearquarter', 'binnedutcyearquartermonth', 'binnedutcyearmonth', 'binnedutcyearmonthdate', 'binnedutcyearmonthdatehours', 'binnedutcyearmonthdatehoursminutes', 'binnedutcyearmonthdatehoursminutesseconds', 'binnedutcyearweek', 'binnedutcyearweekday', 'binnedutcyearweekdayhours', 'binnedutcyearweekdayhoursminutes', 'binnedutcyearweekdayhoursminutesseconds', 'binnedutcyeardayofyear', 'binnedyear', 'binnedyearquarter', 'binnedyearquartermonth', 'binnedyearmonth', 'binnedyearmonthdate', 'binnedyearmonthdatehours', 'binnedyearmonthdatehoursminutes', 'binnedyearmonthdatehoursminutesseconds', 'binnedyearweek', 'binnedyearweekday', 'binnedyearweekdayhours', 'binnedyearweekdayhoursminutes', 'binnedyearweekdayhoursminutesseconds', 'binnedyeardayofyear', 'utcyear', 'utcquarter', 'utcmonth', 'utcweek', 'utcday', 'utcdayofyear', 'utcdate', 'utchours', 'utcminutes', 'utcseconds', 'utcmilliseconds', 'year', 'quarter', 'month', 'week', 'day', 'dayofyear', 'date', 'hours', 'minutes', 'seconds', 'milliseconds', 'utcyearquarter', 'utcyearquartermonth', 'utcyearmonth', 'utcyearmonthdate', 'utcyearmonthdatehours', 'utcyearmonthdatehoursminutes', 'utcyearmonthdatehoursminutesseconds', 'utcyearweek', 'utcyearweekday', 'utcyearweekdayhours', 'utcyearweekdayhoursminutes', 'utcyearweekdayhoursminutesseconds', 'utcyeardayofyear', 'utcquartermonth', 'utcmonthdate', 'utcmonthdatehours', 'utcmonthdatehoursminutes', 'utcmonthdatehoursminutesseconds', 'utcweekday', 'utcweekdayhours', 'utcweekdayhoursminutes', 'utcweekdayhoursminutesseconds', 'utcdayhours', 'utcdayhoursminutes', 'utcdayhoursminutesseconds', 'utchoursminutes', 'utchoursminutesseconds', 'utcminutesseconds', 'utcsecondsmilliseconds', 'yearquarter', 'yearquartermonth', 'yearmonth', 'yearmonthdate', 'yearmonthdatehours', 'yearmonthdatehoursminutes', 'yearmonthdatehoursminutesseconds', 'yearweek', 'yearweekday', 'yearweekdayhours', 'yearweekdayhoursminutes', 'yearweekdayhoursminutesseconds', 'yeardayofyear', 'quartermonth', 'monthdate', 'monthdatehours', 'monthdatehoursminutes', 'monthdatehoursminutesseconds', 'weekday', 'weekdayhours', 'weekdayhoursminutes', 'weekdayhoursminutesseconds', 'dayhours', 'dayhoursminutes', 'dayhoursminutesseconds', 'hoursminutes', 'hoursminutesseconds', 'minutesseconds', 'secondsmilliseconds'] Time unit (e.g., ``year``, ``yearmonth``, ``month``, ``hours``) for a temporal field. or `a temporal field that gets casted as ordinal `__. **Default value:** ``undefined`` (None) **See also:** `timeUnit `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`StandardType`, Literal['quantitative', 'ordinal', 'temporal', 'nominal'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "yOffset" @overload def aggregate(self, _: NonArgAggregateOp_T, **kwds) -> YOffset: ... @overload def aggregate( self, argmax: Optional[str | SchemaBase] = Undefined, **kwds ) -> YOffset: ... @overload def aggregate( self, argmin: Optional[str | SchemaBase] = Undefined, **kwds ) -> YOffset: ... @overload def bandPosition(self, _: float, **kwds) -> YOffset: ... @overload def bin(self, _: bool, **kwds) -> YOffset: ... @overload def bin( self, anchor: Optional[float] = Undefined, base: Optional[float] = Undefined, binned: Optional[bool] = Undefined, divide: Optional[Sequence[float]] = Undefined, extent: Optional[dict | Parameter | SchemaBase | Sequence[float]] = Undefined, maxbins: Optional[float] = Undefined, minstep: Optional[float] = Undefined, nice: Optional[bool] = Undefined, step: Optional[float] = Undefined, steps: Optional[Sequence[float]] = Undefined, **kwds, ) -> YOffset: ... @overload def bin(self, _: None, **kwds) -> YOffset: ... @overload def field(self, _: str, **kwds) -> YOffset: ... @overload def field( self, repeat: Optional[Literal["row", "column", "repeat", "layer"]] = Undefined, **kwds, ) -> YOffset: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> YOffset: ... @overload def scale(self, _: None, **kwds) -> YOffset: ... @overload def sort(self, _: list[float], **kwds) -> YOffset: ... @overload def sort(self, _: list[str], **kwds) -> YOffset: ... @overload def sort(self, _: list[bool], **kwds) -> YOffset: ... @overload def sort(self, _: list[core.DateTime], **kwds) -> YOffset: ... @overload def sort(self, _: SortOrder_T, **kwds) -> YOffset: ... @overload def sort(self, _: SortByChannel_T, **kwds) -> YOffset: ... @overload def sort(self, _: SortByChannelDesc_T, **kwds) -> YOffset: ... @overload def sort( self, field: Optional[str | dict | SchemaBase] = Undefined, op: Optional[SchemaBase | NonArgAggregateOp_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> YOffset: ... @overload def sort( self, encoding: Optional[SchemaBase | SortByChannel_T] = Undefined, order: Optional[None | SchemaBase | SortOrder_T] = Undefined, **kwds, ) -> YOffset: ... @overload def sort(self, _: None, **kwds) -> YOffset: ... @overload def timeUnit(self, _: LocalSingleTimeUnit_T, **kwds) -> YOffset: ... @overload def timeUnit(self, _: UtcSingleTimeUnit_T, **kwds) -> YOffset: ... @overload def timeUnit(self, _: LocalMultiTimeUnit_T, **kwds) -> YOffset: ... @overload def timeUnit(self, _: UtcMultiTimeUnit_T, **kwds) -> YOffset: ... @overload def timeUnit( self, _: Literal[ "binnedyear", "binnedyearquarter", "binnedyearquartermonth", "binnedyearmonth", "binnedyearmonthdate", "binnedyearmonthdatehours", "binnedyearmonthdatehoursminutes", "binnedyearmonthdatehoursminutesseconds", "binnedyearweek", "binnedyearweekday", "binnedyearweekdayhours", "binnedyearweekdayhoursminutes", "binnedyearweekdayhoursminutesseconds", "binnedyeardayofyear", ], **kwds, ) -> YOffset: ... @overload def timeUnit( self, _: Literal[ "binnedutcyear", "binnedutcyearquarter", "binnedutcyearquartermonth", "binnedutcyearmonth", "binnedutcyearmonthdate", "binnedutcyearmonthdatehours", "binnedutcyearmonthdatehoursminutes", "binnedutcyearmonthdatehoursminutesseconds", "binnedutcyearweek", "binnedutcyearweekday", "binnedutcyearweekdayhours", "binnedutcyearweekdayhoursminutes", "binnedutcyearweekdayhoursminutesseconds", "binnedutcyeardayofyear", ], **kwds, ) -> YOffset: ... @overload def timeUnit( self, binned: Optional[bool] = Undefined, maxbins: Optional[float] = Undefined, step: Optional[float] = Undefined, unit: Optional[SchemaBase | MultiTimeUnit_T | SingleTimeUnit_T] = Undefined, utc: Optional[bool] = Undefined, **kwds, ) -> YOffset: ... @overload def title(self, _: str, **kwds) -> YOffset: ... @overload def title(self, _: list[str], **kwds) -> YOffset: ... @overload def title(self, _: None, **kwds) -> YOffset: ... @overload def type(self, _: StandardType_T, **kwds) -> YOffset: ... def __init__( self, shorthand: Optional[str | dict | SchemaBase | Sequence[str]] = Undefined, aggregate: Optional[dict | SchemaBase | NonArgAggregateOp_T] = Undefined, bandPosition: Optional[float] = Undefined, bin: Optional[bool | dict | None | SchemaBase] = Undefined, field: Optional[str | dict | SchemaBase] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, sort: Optional[ dict | None | SchemaBase | Sequence[str] | Sequence[bool] | Sequence[float] | Sequence[dict | SchemaBase] | AllSortString_T ] = Undefined, timeUnit: Optional[ dict | SchemaBase | MultiTimeUnit_T | BinnedTimeUnit_T | SingleTimeUnit_T ] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | StandardType_T] = Undefined, **kwds, ): super().__init__( shorthand=shorthand, aggregate=aggregate, bandPosition=bandPosition, bin=bin, field=field, scale=scale, sort=sort, timeUnit=timeUnit, title=title, type=type, **kwds, ) @with_property_setters class YOffsetDatum(DatumChannelMixin, core.ScaleDatumDef): """ YOffsetDatum schema wrapper. Parameters ---------- bandPosition : float Relative position on a band of a stacked, binned, time unit, or band scale. For example, the marks will be positioned at the beginning of the band if set to ``0``, and at the middle of the band if set to ``0.5``. datum : str, bool, dict, None, float, :class:`ExprRef`, :class:`DateTime`, :class:`RepeatRef`, :class:`PrimitiveValue` A constant value in data domain. scale : dict, None, :class:`Scale` An object defining properties of the channel's scale, which is the function that transforms values in the data domain (numbers, dates, strings, etc) to visual values (pixels, colors, sizes) of the encoding channels. If ``null``, the scale will be `disabled and the data value will be directly encoded `__. **Default value:** If undefined, default `scale properties `__ are applied. **See also:** `scale `__ documentation. title : str, None, :class:`Text`, Sequence[str] A title for the field. If ``null``, the title will be removed. **Default value:** derived from the field's name and transformation function (``aggregate``, ``bin`` and ``timeUnit``). If the field has an aggregate function, the function is displayed as part of the title (e.g., ``"Sum of Profit"``). If the field is binned or has a time unit applied, the applied function is shown in parentheses (e.g., ``"Profit (binned)"``, ``"Transaction Date (year-month)"``). Otherwise, the title is simply the field name. **Notes**: 1) You can customize the default field title format by providing the `fieldTitle `__ property in the `config `__ or `fieldTitle function via the compile function's options `__. 2) If both field definition's ``title`` and axis, header, or legend ``title`` are defined, axis/header/legend title will be used. type : :class:`Type`, Literal['quantitative', 'ordinal', 'temporal', 'nominal', 'geojson'] The type of measurement (``"quantitative"``, ``"temporal"``, ``"ordinal"``, or ``"nominal"``) for the encoded field or constant value (``datum``). It can also be a ``"geojson"`` type for encoding `'geoshape' `__. Vega-Lite automatically infers data types in many cases as discussed below. However, type is required for a field if: (1) the field is not nominal and the field encoding has no specified ``aggregate`` (except ``argmin`` and ``argmax``), ``bin``, scale type, custom ``sort`` order, nor ``timeUnit`` or (2) if you wish to use an ordinal scale for a field with ``bin`` or ``timeUnit``. **Default value:** 1) For a data ``field``, ``"nominal"`` is the default data type unless the field encoding has ``aggregate``, ``channel``, ``bin``, scale type, ``sort``, or ``timeUnit`` that satisfies the following criteria: * ``"quantitative"`` is the default type if (1) the encoded field contains ``bin`` or ``aggregate`` except ``"argmin"`` and ``"argmax"``, (2) the encoding channel is ``latitude`` or ``longitude`` channel or (3) if the specified scale type is `a quantitative scale `__. * ``"temporal"`` is the default type if (1) the encoded field contains ``timeUnit`` or (2) the specified scale type is a time or utc scale * ``"ordinal"`` is the default type if (1) the encoded field contains a `custom sort order `__, (2) the specified scale type is an ordinal/point/band scale, or (3) the encoding channel is ``order``. 2) For a constant value in data domain (``datum``): * ``"quantitative"`` if the datum is a number * ``"nominal"`` if the datum is a string * ``"temporal"`` if the datum is `a date time object `__ **Note:** * Data ``type`` describes the semantics of the data rather than the primitive data types (number, string, etc.). The same primitive data type can have different types of measurement. For example, numeric data can represent quantitative, ordinal, or nominal data. * Data values for a temporal field can be either a date-time string (e.g., ``"2015-03-07 12:32:17"``, ``"17:01"``, ``"2015-03-16"``. ``"2015"``) or a timestamp number (e.g., ``1552199579097``). * When using with `bin `__, the ``type`` property can be either ``"quantitative"`` (for using a linear bin scale) or `"ordinal" (for using an ordinal bin scale) `__. * When using with `timeUnit `__, the ``type`` property can be either ``"temporal"`` (default, for using a temporal scale) or `"ordinal" (for using an ordinal scale) `__. * When using with `aggregate `__, the ``type`` property refers to the post-aggregation data type. For example, we can calculate count ``distinct`` of a categorical field ``"cat"`` using ``{"aggregate": "distinct", "field": "cat"}``. The ``"type"`` of the aggregate output is ``"quantitative"``. * Secondary channels (e.g., ``x2``, ``y2``, ``xError``, ``yError``) do not have ``type`` as they must have exactly the same type as their primary channels (e.g., ``x``, ``y``). **See also:** `type `__ documentation. """ _class_is_valid_at_instantiation = False _encoding_name = "yOffset" @overload def bandPosition(self, _: float, **kwds) -> YOffsetDatum: ... @overload def scale( self, align: Optional[dict | float | Parameter | SchemaBase] = Undefined, base: Optional[dict | float | Parameter | SchemaBase] = Undefined, bins: Optional[dict | SchemaBase | Sequence[float]] = Undefined, clamp: Optional[bool | dict | Parameter | SchemaBase] = Undefined, constant: Optional[dict | float | Parameter | SchemaBase] = Undefined, domain: Optional[ dict | Parameter | SchemaBase | Literal["unaggregated"] | Sequence[str | bool | dict | None | float | Parameter | SchemaBase] ] = Undefined, domainMax: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMid: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainMin: Optional[dict | float | Parameter | SchemaBase] = Undefined, domainRaw: Optional[dict | Parameter | SchemaBase] = Undefined, exponent: Optional[dict | float | Parameter | SchemaBase] = Undefined, interpolate: Optional[ dict | Parameter | SchemaBase | ScaleInterpolateEnum_T ] = Undefined, nice: Optional[ bool | dict | float | Parameter | SchemaBase | TimeInterval_T ] = Undefined, padding: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingInner: Optional[dict | float | Parameter | SchemaBase] = Undefined, paddingOuter: Optional[dict | float | Parameter | SchemaBase] = Undefined, range: Optional[ dict | SchemaBase | Sequence[str | dict | float | Parameter | SchemaBase | Sequence[float]] | RangeEnum_T ] = Undefined, rangeMax: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, rangeMin: Optional[str | dict | float | Parameter | SchemaBase] = Undefined, reverse: Optional[bool | dict | Parameter | SchemaBase] = Undefined, round: Optional[bool | dict | Parameter | SchemaBase] = Undefined, scheme: Optional[dict | Parameter | SchemaBase | ColorScheme_T] = Undefined, type: Optional[SchemaBase | ScaleType_T] = Undefined, zero: Optional[bool | dict | Parameter | SchemaBase] = Undefined, **kwds, ) -> YOffsetDatum: ... @overload def scale(self, _: None, **kwds) -> YOffsetDatum: ... @overload def title(self, _: str, **kwds) -> YOffsetDatum: ... @overload def title(self, _: list[str], **kwds) -> YOffsetDatum: ... @overload def title(self, _: None, **kwds) -> YOffsetDatum: ... @overload def type(self, _: Type_T, **kwds) -> YOffsetDatum: ... def __init__( self, datum, bandPosition: Optional[float] = Undefined, scale: Optional[dict | None | SchemaBase] = Undefined, title: Optional[str | None | SchemaBase | Sequence[str]] = Undefined, type: Optional[SchemaBase | Type_T] = Undefined, **kwds, ): super().__init__( datum=datum, bandPosition=bandPosition, scale=scale, title=title, type=type, **kwds, ) @with_property_setters class YOffsetValue(ValueChannelMixin, core.ValueDefnumber): """ YOffsetValue schema wrapper. Definition object for a constant value (primitive value or gradient definition) of an encoding channel. Parameters ---------- value : float A constant value in visual domain (e.g., ``"red"`` / ``"#0099ff"`` / `gradient definition `__ for color, values between ``0`` to ``1`` for opacity). """ _class_is_valid_at_instantiation = False _encoding_name = "yOffset" def __init__(self, value, **kwds): super().__init__(value=value, **kwds) ChannelAngle: TypeAlias = Union[str, Angle, Map, AngleDatum, AngleValue] ChannelColor: TypeAlias = Union[str, Color, Map, ColorDatum, ColorValue] ChannelColumn: TypeAlias = Union[str, Column, Map] ChannelDescription: TypeAlias = Union[str, Description, Map, DescriptionValue] ChannelDetail: TypeAlias = OneOrSeq[Union[str, Detail, Map]] ChannelFacet: TypeAlias = Union[str, Facet, Map] ChannelFill: TypeAlias = Union[str, Fill, Map, FillDatum, FillValue] ChannelFillOpacity: TypeAlias = Union[ str, FillOpacity, Map, FillOpacityDatum, FillOpacityValue ] ChannelHref: TypeAlias = Union[str, Href, Map, HrefValue] ChannelKey: TypeAlias = Union[str, Key, Map] ChannelLatitude: TypeAlias = Union[str, Latitude, Map, LatitudeDatum] ChannelLatitude2: TypeAlias = Union[str, Latitude2, Map, Latitude2Datum, Latitude2Value] ChannelLongitude: TypeAlias = Union[str, Longitude, Map, LongitudeDatum] ChannelLongitude2: TypeAlias = Union[ str, Longitude2, Map, Longitude2Datum, Longitude2Value ] ChannelOpacity: TypeAlias = Union[str, Opacity, Map, OpacityDatum, OpacityValue] ChannelOrder: TypeAlias = OneOrSeq[Union[str, Order, Map, OrderValue]] ChannelRadius: TypeAlias = Union[str, Radius, Map, RadiusDatum, RadiusValue] ChannelRadius2: TypeAlias = Union[str, Radius2, Map, Radius2Datum, Radius2Value] ChannelRow: TypeAlias = Union[str, Row, Map] ChannelShape: TypeAlias = Union[str, Shape, Map, ShapeDatum, ShapeValue] ChannelSize: TypeAlias = Union[str, Size, Map, SizeDatum, SizeValue] ChannelStroke: TypeAlias = Union[str, Stroke, Map, StrokeDatum, StrokeValue] ChannelStrokeDash: TypeAlias = Union[ str, StrokeDash, Map, StrokeDashDatum, StrokeDashValue ] ChannelStrokeOpacity: TypeAlias = Union[ str, StrokeOpacity, Map, StrokeOpacityDatum, StrokeOpacityValue ] ChannelStrokeWidth: TypeAlias = Union[ str, StrokeWidth, Map, StrokeWidthDatum, StrokeWidthValue ] ChannelText: TypeAlias = Union[str, Text, Map, TextDatum, TextValue] ChannelTheta: TypeAlias = Union[str, Theta, Map, ThetaDatum, ThetaValue] ChannelTheta2: TypeAlias = Union[str, Theta2, Map, Theta2Datum, Theta2Value] ChannelTooltip: TypeAlias = OneOrSeq[Union[str, Tooltip, Map, TooltipValue]] ChannelUrl: TypeAlias = Union[str, Url, Map, UrlValue] ChannelX: TypeAlias = Union[str, X, Map, XDatum, XValue] ChannelX2: TypeAlias = Union[str, X2, Map, X2Datum, X2Value] ChannelXError: TypeAlias = Union[str, XError, Map, XErrorValue] ChannelXError2: TypeAlias = Union[str, XError2, Map, XError2Value] ChannelXOffset: TypeAlias = Union[str, XOffset, Map, XOffsetDatum, XOffsetValue] ChannelY: TypeAlias = Union[str, Y, Map, YDatum, YValue] ChannelY2: TypeAlias = Union[str, Y2, Map, Y2Datum, Y2Value] ChannelYError: TypeAlias = Union[str, YError, Map, YErrorValue] ChannelYError2: TypeAlias = Union[str, YError2, Map, YError2Value] ChannelYOffset: TypeAlias = Union[str, YOffset, Map, YOffsetDatum, YOffsetValue] class _EncodingMixin: def encode( self, *args: Any, angle: Optional[str | Angle | Map | AngleDatum | AngleValue] = Undefined, color: Optional[str | Color | Map | ColorDatum | ColorValue] = Undefined, column: Optional[str | Column | Map] = Undefined, description: Optional[str | Description | Map | DescriptionValue] = Undefined, detail: Optional[OneOrSeq[str | Detail | Map]] = Undefined, facet: Optional[str | Facet | Map] = Undefined, fill: Optional[str | Fill | Map | FillDatum | FillValue] = Undefined, fillOpacity: Optional[ str | FillOpacity | Map | FillOpacityDatum | FillOpacityValue ] = Undefined, href: Optional[str | Href | Map | HrefValue] = Undefined, key: Optional[str | Key | Map] = Undefined, latitude: Optional[str | Latitude | Map | LatitudeDatum] = Undefined, latitude2: Optional[ str | Latitude2 | Map | Latitude2Datum | Latitude2Value ] = Undefined, longitude: Optional[str | Longitude | Map | LongitudeDatum] = Undefined, longitude2: Optional[ str | Longitude2 | Map | Longitude2Datum | Longitude2Value ] = Undefined, opacity: Optional[ str | Opacity | Map | OpacityDatum | OpacityValue ] = Undefined, order: Optional[OneOrSeq[str | Order | Map | OrderValue]] = Undefined, radius: Optional[str | Radius | Map | RadiusDatum | RadiusValue] = Undefined, radius2: Optional[ str | Radius2 | Map | Radius2Datum | Radius2Value ] = Undefined, row: Optional[str | Row | Map] = Undefined, shape: Optional[str | Shape | Map | ShapeDatum | ShapeValue] = Undefined, size: Optional[str | Size | Map | SizeDatum | SizeValue] = Undefined, stroke: Optional[str | Stroke | Map | StrokeDatum | StrokeValue] = Undefined, strokeDash: Optional[ str | StrokeDash | Map | StrokeDashDatum | StrokeDashValue ] = Undefined, strokeOpacity: Optional[ str | StrokeOpacity | Map | StrokeOpacityDatum | StrokeOpacityValue ] = Undefined, strokeWidth: Optional[ str | StrokeWidth | Map | StrokeWidthDatum | StrokeWidthValue ] = Undefined, text: Optional[str | Text | Map | TextDatum | TextValue] = Undefined, theta: Optional[str | Theta | Map | ThetaDatum | ThetaValue] = Undefined, theta2: Optional[str | Theta2 | Map | Theta2Datum | Theta2Value] = Undefined, tooltip: Optional[OneOrSeq[str | Tooltip | Map | TooltipValue]] = Undefined, url: Optional[str | Url | Map | UrlValue] = Undefined, x: Optional[str | X | Map | XDatum | XValue] = Undefined, x2: Optional[str | X2 | Map | X2Datum | X2Value] = Undefined, xError: Optional[str | XError | Map | XErrorValue] = Undefined, xError2: Optional[str | XError2 | Map | XError2Value] = Undefined, xOffset: Optional[ str | XOffset | Map | XOffsetDatum | XOffsetValue ] = Undefined, y: Optional[str | Y | Map | YDatum | YValue] = Undefined, y2: Optional[str | Y2 | Map | Y2Datum | Y2Value] = Undefined, yError: Optional[str | YError | Map | YErrorValue] = Undefined, yError2: Optional[str | YError2 | Map | YError2Value] = Undefined, yOffset: Optional[ str | YOffset | Map | YOffsetDatum | YOffsetValue ] = Undefined, ) -> Self: """ Map properties of the data to visual properties of the chart (see :class:`FacetedEncoding`). Parameters ---------- angle : str, :class:`Angle`, Dict, :class:`AngleDatum`, :class:`AngleValue` Rotation angle of point and text marks. color : str, :class:`Color`, Dict, :class:`ColorDatum`, :class:`ColorValue` Color of the marks - either fill or stroke color based on the ``filled`` property of mark definition. By default, ``color`` represents fill color for ``"area"``, ``"bar"``, ``"tick"``, ``"text"``, ``"trail"``, ``"circle"``, and ``"square"`` / stroke color for ``"line"`` and ``"point"``. **Default value:** If undefined, the default color depends on `mark config `__'s ``color`` property. *Note:* 1) For fine-grained control over both fill and stroke colors of the marks, please use the ``fill`` and ``stroke`` channels. The ``fill`` or ``stroke`` encodings have higher precedence than ``color``, thus may override the ``color`` encoding if conflicting encodings are specified. 2) See the scale documentation for more information about customizing `color scheme `__. column : str, :class:`Column`, Dict A field definition for the horizontal facet of trellis plots. description : str, :class:`Description`, Dict, :class:`DescriptionValue` A text description of this mark for ARIA accessibility (SVG output only). For SVG output the ``"aria-label"`` attribute will be set to this description. detail : str, :class:`Detail`, Dict, List Additional levels of detail for grouping data in aggregate views and in line, trail, and area marks without mapping data to a specific visual channel. facet : str, :class:`Facet`, Dict A field definition for the (flexible) facet of trellis plots. If either ``row`` or ``column`` is specified, this channel will be ignored. fill : str, :class:`Fill`, Dict, :class:`FillDatum`, :class:`FillValue` Fill color of the marks. **Default value:** If undefined, the default color depends on `mark config `__'s ``color`` property. *Note:* The ``fill`` encoding has higher precedence than ``color``, thus may override the ``color`` encoding if conflicting encodings are specified. fillOpacity : str, :class:`FillOpacity`, Dict, :class:`FillOpacityDatum`, :class:`FillOpacityValue` Fill opacity of the marks. **Default value:** If undefined, the default opacity depends on `mark config `__'s ``fillOpacity`` property. href : str, :class:`Href`, Dict, :class:`HrefValue` A URL to load upon mouse click. key : str, :class:`Key`, Dict A data field to use as a unique key for data binding. When a visualization's data is updated, the key value will be used to match data elements to existing mark instances. Use a key channel to enable object constancy for transitions over dynamic data. latitude : str, :class:`Latitude`, Dict, :class:`LatitudeDatum` Latitude position of geographically projected marks. latitude2 : str, :class:`Latitude2`, Dict, :class:`Latitude2Datum`, :class:`Latitude2Value` Latitude-2 position for geographically projected ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. longitude : str, :class:`Longitude`, Dict, :class:`LongitudeDatum` Longitude position of geographically projected marks. longitude2 : str, :class:`Longitude2`, Dict, :class:`Longitude2Datum`, :class:`Longitude2Value` Longitude-2 position for geographically projected ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. opacity : str, :class:`Opacity`, Dict, :class:`OpacityDatum`, :class:`OpacityValue` Opacity of the marks. **Default value:** If undefined, the default opacity depends on `mark config `__'s ``opacity`` property. order : str, :class:`Order`, Dict, List, :class:`OrderValue` Order of the marks. * For stacked marks, this ``order`` channel encodes `stack order `__. * For line and trail marks, this ``order`` channel encodes order of data points in the lines. This can be useful for creating `a connected scatterplot `__. Setting ``order`` to ``{"value": null}`` makes the line marks use the original order in the data sources. * Otherwise, this ``order`` channel encodes layer order of the marks. **Note**: In aggregate plots, ``order`` field should be ``aggregate``d to avoid creating additional aggregation grouping. radius : str, :class:`Radius`, Dict, :class:`RadiusDatum`, :class:`RadiusValue` The outer radius in pixels of arc marks. radius2 : str, :class:`Radius2`, Dict, :class:`Radius2Datum`, :class:`Radius2Value` The inner radius in pixels of arc marks. row : str, :class:`Row`, Dict A field definition for the vertical facet of trellis plots. shape : str, :class:`Shape`, Dict, :class:`ShapeDatum`, :class:`ShapeValue` Shape of the mark. 1. For ``point`` marks the supported values include: - plotting shapes: ``"circle"``, ``"square"``, ``"cross"``, ``"diamond"``, ``"triangle-up"``, ``"triangle-down"``, ``"triangle-right"``, or ``"triangle-left"``. - the line symbol ``"stroke"`` - centered directional shapes ``"arrow"``, ``"wedge"``, or ``"triangle"`` - a custom `SVG path string `__ (For correct sizing, custom shape paths should be defined within a square bounding box with coordinates ranging from -1 to 1 along both the x and y dimensions.) 2. For ``geoshape`` marks it should be a field definition of the geojson data **Default value:** If undefined, the default shape depends on `mark config `__'s ``shape`` property. (``"circle"`` if unset.) size : str, :class:`Size`, Dict, :class:`SizeDatum`, :class:`SizeValue` Size of the mark. * For ``"point"``, ``"square"`` and ``"circle"``, - the symbol size, or pixel area of the mark. * For ``"bar"`` and ``"tick"`` - the bar and tick's size. * For ``"text"`` - the text's font size. * Size is unsupported for ``"line"``, ``"area"``, and ``"rect"``. (Use ``"trail"`` instead of line with varying size) stroke : str, :class:`Stroke`, Dict, :class:`StrokeDatum`, :class:`StrokeValue` Stroke color of the marks. **Default value:** If undefined, the default color depends on `mark config `__'s ``color`` property. *Note:* The ``stroke`` encoding has higher precedence than ``color``, thus may override the ``color`` encoding if conflicting encodings are specified. strokeDash : str, :class:`StrokeDash`, Dict, :class:`StrokeDashDatum`, :class:`StrokeDashValue` Stroke dash of the marks. **Default value:** ``[1,0]`` (No dash). strokeOpacity : str, :class:`StrokeOpacity`, Dict, :class:`StrokeOpacityDatum`, :class:`StrokeOpacityValue` Stroke opacity of the marks. **Default value:** If undefined, the default opacity depends on `mark config `__'s ``strokeOpacity`` property. strokeWidth : str, :class:`StrokeWidth`, Dict, :class:`StrokeWidthDatum`, :class:`StrokeWidthValue` Stroke width of the marks. **Default value:** If undefined, the default stroke width depends on `mark config `__'s ``strokeWidth`` property. text : str, :class:`Text`, Dict, :class:`TextDatum`, :class:`TextValue` Text of the ``text`` mark. theta : str, :class:`Theta`, Dict, :class:`ThetaDatum`, :class:`ThetaValue` * For arc marks, the arc length in radians if theta2 is not specified, otherwise the start arc angle. (A value of 0 indicates up or “north”, increasing values proceed clockwise.) * For text marks, polar coordinate angle in radians. theta2 : str, :class:`Theta2`, Dict, :class:`Theta2Datum`, :class:`Theta2Value` The end angle of arc marks in radians. A value of 0 indicates up or “north”, increasing values proceed clockwise. tooltip : str, :class:`Tooltip`, Dict, List, :class:`TooltipValue` The tooltip text to show upon mouse hover. Specifying ``tooltip`` encoding overrides `the tooltip property in the mark definition `__. See the `tooltip `__ documentation for a detailed discussion about tooltip in Vega-Lite. url : str, :class:`Url`, Dict, :class:`UrlValue` The URL of an image mark. x : str, :class:`X`, Dict, :class:`XDatum`, :class:`XValue` X coordinates of the marks, or width of horizontal ``"bar"`` and ``"area"`` without specified ``x2`` or ``width``. The ``value`` of this channel can be a number or a string ``"width"`` for the width of the plot. x2 : str, :class:`X2`, Dict, :class:`X2Datum`, :class:`X2Value` X2 coordinates for ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. The ``value`` of this channel can be a number or a string ``"width"`` for the width of the plot. xError : str, :class:`XError`, Dict, :class:`XErrorValue` Error value of x coordinates for error specified ``"errorbar"`` and ``"errorband"``. xError2 : str, :class:`XError2`, Dict, :class:`XError2Value` Secondary error value of x coordinates for error specified ``"errorbar"`` and ``"errorband"``. xOffset : str, :class:`XOffset`, Dict, :class:`XOffsetDatum`, :class:`XOffsetValue` Offset of x-position of the marks y : str, :class:`Y`, Dict, :class:`YDatum`, :class:`YValue` Y coordinates of the marks, or height of vertical ``"bar"`` and ``"area"`` without specified ``y2`` or ``height``. The ``value`` of this channel can be a number or a string ``"height"`` for the height of the plot. y2 : str, :class:`Y2`, Dict, :class:`Y2Datum`, :class:`Y2Value` Y2 coordinates for ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. The ``value`` of this channel can be a number or a string ``"height"`` for the height of the plot. yError : str, :class:`YError`, Dict, :class:`YErrorValue` Error value of y coordinates for error specified ``"errorbar"`` and ``"errorband"``. yError2 : str, :class:`YError2`, Dict, :class:`YError2Value` Secondary error value of y coordinates for error specified ``"errorbar"`` and ``"errorband"``. yOffset : str, :class:`YOffset`, Dict, :class:`YOffsetDatum`, :class:`YOffsetValue` Offset of y-position of the marks """ # Compat prep for `infer_encoding_types` signature kwargs = locals() kwargs.pop("self") args = kwargs.pop("args") if args: kwargs = {k: v for k, v in kwargs.items() if v is not Undefined} # Convert args to kwargs based on their types. kwargs = _infer_encoding_types(args, kwargs) # get a copy of the dict representation of the previous encoding # ignore type as copy method comes from SchemaBase copy = self.copy(deep=["encoding"]) # type: ignore[attr-defined] encoding = copy._get("encoding", {}) if isinstance(encoding, core.VegaLiteSchema): encoding = {k: v for k, v in encoding._kwds.items() if v is not Undefined} # update with the new encodings, and apply them to the copy encoding.update(kwargs) copy.encoding = core.FacetedEncoding(**encoding) return copy class EncodeKwds(TypedDict, total=False): """ Encoding channels map properties of the data to visual properties of the chart. Parameters ---------- angle Rotation angle of point and text marks. color Color of the marks - either fill or stroke color based on the ``filled`` property of mark definition. By default, ``color`` represents fill color for ``"area"``, ``"bar"``, ``"tick"``, ``"text"``, ``"trail"``, ``"circle"``, and ``"square"`` / stroke color for ``"line"`` and ``"point"``. **Default value:** If undefined, the default color depends on `mark config `__'s ``color`` property. *Note:* 1) For fine-grained control over both fill and stroke colors of the marks, please use the ``fill`` and ``stroke`` channels. The ``fill`` or ``stroke`` encodings have higher precedence than ``color``, thus may override the ``color`` encoding if conflicting encodings are specified. 2) See the scale documentation for more information about customizing `color scheme `__. column A field definition for the horizontal facet of trellis plots. description A text description of this mark for ARIA accessibility (SVG output only). For SVG output the ``"aria-label"`` attribute will be set to this description. detail Additional levels of detail for grouping data in aggregate views and in line, trail, and area marks without mapping data to a specific visual channel. facet A field definition for the (flexible) facet of trellis plots. If either ``row`` or ``column`` is specified, this channel will be ignored. fill Fill color of the marks. **Default value:** If undefined, the default color depends on `mark config `__'s ``color`` property. *Note:* The ``fill`` encoding has higher precedence than ``color``, thus may override the ``color`` encoding if conflicting encodings are specified. fillOpacity Fill opacity of the marks. **Default value:** If undefined, the default opacity depends on `mark config `__'s ``fillOpacity`` property. href A URL to load upon mouse click. key A data field to use as a unique key for data binding. When a visualization's data is updated, the key value will be used to match data elements to existing mark instances. Use a key channel to enable object constancy for transitions over dynamic data. latitude Latitude position of geographically projected marks. latitude2 Latitude-2 position for geographically projected ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. longitude Longitude position of geographically projected marks. longitude2 Longitude-2 position for geographically projected ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. opacity Opacity of the marks. **Default value:** If undefined, the default opacity depends on `mark config `__'s ``opacity`` property. order Order of the marks. * For stacked marks, this ``order`` channel encodes `stack order `__. * For line and trail marks, this ``order`` channel encodes order of data points in the lines. This can be useful for creating `a connected scatterplot `__. Setting ``order`` to ``{"value": null}`` makes the line marks use the original order in the data sources. * Otherwise, this ``order`` channel encodes layer order of the marks. **Note**: In aggregate plots, ``order`` field should be ``aggregate``d to avoid creating additional aggregation grouping. radius The outer radius in pixels of arc marks. radius2 The inner radius in pixels of arc marks. row A field definition for the vertical facet of trellis plots. shape Shape of the mark. 1. For ``point`` marks the supported values include: - plotting shapes: ``"circle"``, ``"square"``, ``"cross"``, ``"diamond"``, ``"triangle-up"``, ``"triangle-down"``, ``"triangle-right"``, or ``"triangle-left"``. - the line symbol ``"stroke"`` - centered directional shapes ``"arrow"``, ``"wedge"``, or ``"triangle"`` - a custom `SVG path string `__ (For correct sizing, custom shape paths should be defined within a square bounding box with coordinates ranging from -1 to 1 along both the x and y dimensions.) 2. For ``geoshape`` marks it should be a field definition of the geojson data **Default value:** If undefined, the default shape depends on `mark config `__'s ``shape`` property. (``"circle"`` if unset.) size Size of the mark. * For ``"point"``, ``"square"`` and ``"circle"``, - the symbol size, or pixel area of the mark. * For ``"bar"`` and ``"tick"`` - the bar and tick's size. * For ``"text"`` - the text's font size. * Size is unsupported for ``"line"``, ``"area"``, and ``"rect"``. (Use ``"trail"`` instead of line with varying size) stroke Stroke color of the marks. **Default value:** If undefined, the default color depends on `mark config `__'s ``color`` property. *Note:* The ``stroke`` encoding has higher precedence than ``color``, thus may override the ``color`` encoding if conflicting encodings are specified. strokeDash Stroke dash of the marks. **Default value:** ``[1,0]`` (No dash). strokeOpacity Stroke opacity of the marks. **Default value:** If undefined, the default opacity depends on `mark config `__'s ``strokeOpacity`` property. strokeWidth Stroke width of the marks. **Default value:** If undefined, the default stroke width depends on `mark config `__'s ``strokeWidth`` property. text Text of the ``text`` mark. theta * For arc marks, the arc length in radians if theta2 is not specified, otherwise the start arc angle. (A value of 0 indicates up or “north”, increasing values proceed clockwise.) * For text marks, polar coordinate angle in radians. theta2 The end angle of arc marks in radians. A value of 0 indicates up or “north”, increasing values proceed clockwise. tooltip The tooltip text to show upon mouse hover. Specifying ``tooltip`` encoding overrides `the tooltip property in the mark definition `__. See the `tooltip `__ documentation for a detailed discussion about tooltip in Vega-Lite. url The URL of an image mark. x X coordinates of the marks, or width of horizontal ``"bar"`` and ``"area"`` without specified ``x2`` or ``width``. The ``value`` of this channel can be a number or a string ``"width"`` for the width of the plot. x2 X2 coordinates for ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. The ``value`` of this channel can be a number or a string ``"width"`` for the width of the plot. xError Error value of x coordinates for error specified ``"errorbar"`` and ``"errorband"``. xError2 Secondary error value of x coordinates for error specified ``"errorbar"`` and ``"errorband"``. xOffset Offset of x-position of the marks y Y coordinates of the marks, or height of vertical ``"bar"`` and ``"area"`` without specified ``y2`` or ``height``. The ``value`` of this channel can be a number or a string ``"height"`` for the height of the plot. y2 Y2 coordinates for ranged ``"area"``, ``"bar"``, ``"rect"``, and ``"rule"``. The ``value`` of this channel can be a number or a string ``"height"`` for the height of the plot. yError Error value of y coordinates for error specified ``"errorbar"`` and ``"errorband"``. yError2 Secondary error value of y coordinates for error specified ``"errorbar"`` and ``"errorband"``. yOffset Offset of y-position of the marks """ angle: str | Angle | Map | AngleDatum | AngleValue color: str | Color | Map | ColorDatum | ColorValue column: str | Column | Map description: str | Description | Map | DescriptionValue detail: OneOrSeq[str | Detail | Map] facet: str | Facet | Map fill: str | Fill | Map | FillDatum | FillValue fillOpacity: str | FillOpacity | Map | FillOpacityDatum | FillOpacityValue href: str | Href | Map | HrefValue key: str | Key | Map latitude: str | Latitude | Map | LatitudeDatum latitude2: str | Latitude2 | Map | Latitude2Datum | Latitude2Value longitude: str | Longitude | Map | LongitudeDatum longitude2: str | Longitude2 | Map | Longitude2Datum | Longitude2Value opacity: str | Opacity | Map | OpacityDatum | OpacityValue order: OneOrSeq[str | Order | Map | OrderValue] radius: str | Radius | Map | RadiusDatum | RadiusValue radius2: str | Radius2 | Map | Radius2Datum | Radius2Value row: str | Row | Map shape: str | Shape | Map | ShapeDatum | ShapeValue size: str | Size | Map | SizeDatum | SizeValue stroke: str | Stroke | Map | StrokeDatum | StrokeValue strokeDash: str | StrokeDash | Map | StrokeDashDatum | StrokeDashValue strokeOpacity: str | StrokeOpacity | Map | StrokeOpacityDatum | StrokeOpacityValue strokeWidth: str | StrokeWidth | Map | StrokeWidthDatum | StrokeWidthValue text: str | Text | Map | TextDatum | TextValue theta: str | Theta | Map | ThetaDatum | ThetaValue theta2: str | Theta2 | Map | Theta2Datum | Theta2Value tooltip: OneOrSeq[str | Tooltip | Map | TooltipValue] url: str | Url | Map | UrlValue x: str | X | Map | XDatum | XValue x2: str | X2 | Map | X2Datum | X2Value xError: str | XError | Map | XErrorValue xError2: str | XError2 | Map | XError2Value xOffset: str | XOffset | Map | XOffsetDatum | XOffsetValue y: str | Y | Map | YDatum | YValue y2: str | Y2 | Map | Y2Datum | Y2Value yError: str | YError | Map | YErrorValue yError2: str | YError2 | Map | YError2Value yOffset: str | YOffset | Map | YOffsetDatum | YOffsetValue