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from typing import Any |
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from numpy.lib._index_tricks_impl import AxisConcatenator |
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from numpy.ma.core import ( |
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dot as dot, |
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mask_rowcols as mask_rowcols, |
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) |
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__all__: list[str] |
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def count_masked(arr, axis=...): ... |
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def masked_all(shape, dtype = ...): ... |
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def masked_all_like(arr): ... |
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class _fromnxfunction: |
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__name__: Any |
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__doc__: Any |
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def __init__(self, funcname): ... |
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def getdoc(self): ... |
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def __call__(self, *args, **params): ... |
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class _fromnxfunction_single(_fromnxfunction): |
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def __call__(self, x, *args, **params): ... |
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class _fromnxfunction_seq(_fromnxfunction): |
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def __call__(self, x, *args, **params): ... |
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class _fromnxfunction_allargs(_fromnxfunction): |
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def __call__(self, *args, **params): ... |
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atleast_1d: _fromnxfunction_allargs |
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atleast_2d: _fromnxfunction_allargs |
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atleast_3d: _fromnxfunction_allargs |
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vstack: _fromnxfunction_seq |
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row_stack: _fromnxfunction_seq |
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hstack: _fromnxfunction_seq |
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column_stack: _fromnxfunction_seq |
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dstack: _fromnxfunction_seq |
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stack: _fromnxfunction_seq |
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hsplit: _fromnxfunction_single |
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diagflat: _fromnxfunction_single |
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def apply_along_axis(func1d, axis, arr, *args, **kwargs): ... |
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def apply_over_axes(func, a, axes): ... |
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def average(a, axis=..., weights=..., returned=..., keepdims=...): ... |
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def median(a, axis=..., out=..., overwrite_input=..., keepdims=...): ... |
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def compress_nd(x, axis=...): ... |
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def compress_rowcols(x, axis=...): ... |
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def compress_rows(a): ... |
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def compress_cols(a): ... |
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def mask_rows(a, axis = ...): ... |
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def mask_cols(a, axis = ...): ... |
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def ediff1d(arr, to_end=..., to_begin=...): ... |
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def unique(ar1, return_index=..., return_inverse=...): ... |
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def intersect1d(ar1, ar2, assume_unique=...): ... |
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def setxor1d(ar1, ar2, assume_unique=...): ... |
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def in1d(ar1, ar2, assume_unique=..., invert=...): ... |
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def isin(element, test_elements, assume_unique=..., invert=...): ... |
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def union1d(ar1, ar2): ... |
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def setdiff1d(ar1, ar2, assume_unique=...): ... |
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def cov(x, y=..., rowvar=..., bias=..., allow_masked=..., ddof=...): ... |
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def corrcoef(x, y=..., rowvar=..., bias = ..., allow_masked=..., ddof = ...): ... |
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class MAxisConcatenator(AxisConcatenator): |
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concatenate: Any |
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@classmethod |
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def makemat(cls, arr): ... |
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def __getitem__(self, key): ... |
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class mr_class(MAxisConcatenator): |
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def __init__(self): ... |
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mr_: mr_class |
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def ndenumerate(a, compressed=...): ... |
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def flatnotmasked_edges(a): ... |
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def notmasked_edges(a, axis=...): ... |
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def flatnotmasked_contiguous(a): ... |
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def notmasked_contiguous(a, axis=...): ... |
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def clump_unmasked(a): ... |
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def clump_masked(a): ... |
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def vander(x, n=...): ... |
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def polyfit(x, y, deg, rcond=..., full=..., w=..., cov=...): ... |
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