Spaces:
Runtime error
Runtime error
File size: 5,554 Bytes
3af04c7 6f68aed 3af04c7 9823ef6 3af04c7 9823ef6 3af04c7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 |
import pandas as pd
import streamlit as st
import plotly.express as px
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
from statsmodels.graphics.tsaplots import acf, pacf
import numpy as np
import plotly.graph_objects as go
def streamlit_2columns_metrics_df_shape(df: pd.DataFrame):
(
column1name,
column2name,
) = st.columns(2)
with column1name:
st.metric(
label="Rows",
value=df.shape[0],
delta=None,
delta_color="normal",
)
with column2name:
st.metric(
label="Columns",
value=df.shape[1],
delta=None,
delta_color="normal",
)
def show_inputted_dataframe(data):
with st.expander("Input Dataframe:"):
st.dataframe(data)
streamlit_2columns_metrics_df_shape(data)
def time_series_line_plot(data):
fig = px.line(
data
)
st.plotly_chart(fig, use_container_width=True)
def time_series_scatter_plot(data):
fig = px.scatter(data, trendline="ols")
st.plotly_chart(fig, use_container_width=True)
def time_series_box_plot(data):
fig = px.box(data, hover_data=['Date'], points="all")
st.plotly_chart(fig, use_container_width=True)
def time_series_violin_and_box_plot(graph_data):
fig = px.histogram(graph_data,
marginal="violin")
st.plotly_chart(fig, use_container_width=True)
def streamlit_chart_setting_height_width(
title: str,
default_widthvalue: int,
default_heightvalue: int,
widthkey: str,
heightkey: str,
):
with st.expander(title):
lbarx_col, lbary_col = st.columns(2)
with lbarx_col:
width_size = st.number_input(
label="Width in inches:",
value=default_widthvalue,
key=widthkey,
)
with lbary_col:
height_size = st.number_input(
label="Height in inches:",
value=default_heightvalue,
key=heightkey,
)
return width_size, height_size
# zero 0-lag autocorrelation = True
# fft
def streamlit_autocorrelation_plot_settings():
with st.expander('Autocorrelation Plot Settings:'):
lag_col, alpha_col = st.columns(2)
with lag_col:
lags_selected = st.number_input(
label="Lags:",
value=15)
with alpha_col:
alpha_selected = st.number_input(
label="Alpha:",
value=0.05)
zero_include_selected = st.radio(
label="Include the 0-lag autocorrelation:",
options=('True', 'False'))
zero_include_selected = zero_include_selected == 'True'
return [lags_selected,
alpha_selected,
zero_include_selected]
def streamlit_acf_plot_settings():
fft_compute_selected = st.radio(
label="Compute the ACF via FFT:",
options=('False', 'True'))
fft_compute_selected = fft_compute_selected == 'True'
return fft_compute_selected
def plotly_corr(corr_array, upper_y, lower_y):
fig = go.Figure()
[fig.add_scatter(x=(x, x), y=(0, corr_array[0][x]), mode='lines', line_color='#3f3f3f')
for x in range(len(corr_array[0]))]
fig.add_scatter(x=np.arange(len(corr_array[0])), y=corr_array[0], mode='markers', marker_color='#1f77b4',
marker_size=12)
fig.add_scatter(x=np.arange(
len(corr_array[0])), y=upper_y, mode='lines', line_color='rgba(255,255,255,0)')
fig.add_scatter(x=np.arange(len(corr_array[0])), y=lower_y, mode='lines', fillcolor='rgba(32, 146, 230,0.3)',
fill='tonexty', line_color='rgba(255,255,255,0)')
fig.update_traces(showlegend=False)
fig.update_yaxes(zerolinecolor='#000000')
return fig
def create_standard_corr_plot(series, plot_pacf=False):
corr_array = pacf(series.dropna(), alpha=0.05) if plot_pacf else acf(
series.dropna(), alpha=0.05)
lower_y = corr_array[1][:, 0] - corr_array[0]
upper_y = corr_array[1][:, 1] - corr_array[0]
fig = plotly_corr(corr_array, upper_y, lower_y)
title = 'Partial Autocorrelation' if plot_pacf else 'Autocorrelation'
fig.update_layout(title=title)
st.plotly_chart(fig, use_container_width=True)
def create_acf_plot(data_series,
alpha_selected,
acf_nlags_selected_plot,
acf_fft_selected_plot):
corr_array = acf(data_series,
alpha=alpha_selected,
nlags=acf_nlags_selected_plot,
fft=acf_fft_selected_plot)
lower = corr_array[1][:, 0] - corr_array[0]
upper = corr_array[1][:, 1] - corr_array[0]
fig = plotly_corr(corr_array, upper, lower)
title = 'Autocorrelation'
fig.update_layout(title=title)
st.plotly_chart(fig, use_container_width=True)
def create_pacf_plot(data_series,
alpha_selected,
acf_nlags_selected,
pacf_calculation_method):
corr_array = pacf(data_series,
alpha=alpha_selected,
nlags=acf_nlags_selected,
method=pacf_calculation_method)
lower = corr_array[1][:, 0] - corr_array[0]
upper = corr_array[1][:, 1] - corr_array[0]
fig = plotly_corr(corr_array, upper, lower)
title = 'Partial Autocorrelation'
fig.update_layout(title=title)
st.plotly_chart(fig, use_container_width=True)
|