Python plot_grouped_dataframe示例

示例#1

文件： test_plots.py 项目： philthyharry/gdfplot

    def test_two_column_index(self, params, dataframe, caplog):
        gdf = dataframe[columns[:2] + ['firing_rate']].groupby(
            columns[:2]).sum()

        if 'hue' in params:
            plot_grouped_dataframe(gdf, metrics='firing_rate', **params)
            assert hue_ignored_warning in caplog.text
        else:
            plot_grouped_dataframe(gdf, metrics='firing_rate', **params)

示例#2

文件： dev.py 项目： philthyharry/gdfplot

import matplotlib.pyplot as plt
import seaborn as sns

from gdfplot.core import plot_grouped_dataframe

dots = sns.load_dataset('dots')
dots = dots.loc[(dots['time'] >= 0) & (dots['time'] <= 50)]

g2 = dots[['align', 'choice', 'firing_rate']].groupby(['align',
                                                       'choice']).sum()

plot_grouped_dataframe(g2,
                       metrics='firing_rate',
                       hue='align',
                       h_subplots='choice')
plt.show()

示例#3

文件： test_plots.py 项目： philthyharry/gdfplot

 def test_one_column_index(self, params, dataframe):
     gdf = dataframe[columns[:1] + ['firing_rate']].groupby(
         columns[:1]).sum()
     plot_grouped_dataframe(gdf, metrics='firing_rate', **params)

示例#4

文件： test_plots.py 项目： philthyharry/gdfplot

    def test_two_column_index(self, params, dataframe):
        gdf = dataframe[columns[:2] + ['firing_rate']].groupby(
            columns[:2]).sum()

        with pytest.raises(ColumnNameNotInIndex):
            plot_grouped_dataframe(gdf, metrics='firing_rate', **params)

示例#5

文件： test_plots.py 项目： philthyharry/gdfplot

    def test_three_column_index(self, params, dataframe, caplog):

        gdf = dataframe[columns + ['firing_rate']].groupby(columns).sum()
        plot_grouped_dataframe(gdf, metrics='firing_rate', **params)
        assert hue_ignored_warning in caplog.text