def test_compute_ratio_songs(self):
serie = pd.Series([1, 1, 1, 1, 2, 2, 3, 3, 3, 3])
result = Utility.compute_ratio_songs(serie).tolist()
self.assertEqual(result, [40.0, 40.0, 20.0])
df_viz = viz_df_instance.get_df_viz()
# note that you can filter this df_viz using queries (see query.py for examples!)
# BUILD A BAR CHART FOR DAY OF THE WEEK WITH RATIO OF SONGS
###########################################################################################################################
# create the BarChart instance
years_to_plot = sorted(df_viz['Play_Year'].dropna().unique())
bar_chart = BarChartVisualization(df_viz)
bar_chart.hover_unit = '%'
# for each year, build the x and y series, computing the percentage of songs, and generate the traces
for year in years_to_plot:
x_serie = df_viz[df_viz['Play_Year']==year]['Play_DOW'].unique()
y_serie = Utility.compute_ratio_songs(df_viz[df_viz['Play_Year']==year]['Play_DOW'])
bar_chart.render_bar_chart(x_serie, y_serie, str(year))
# edit the layout of the xaxis and show the rendered plot
xaxis=dict(categoryorder='array',
tickangle = -45,
categoryarray = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'])
bar_chart.figure.update_layout(xaxis =xaxis)
bar_chart.figure.show()
# BUILD A BAR CHART FOR MONTH WITH COUNT OF SONGS
###########################################################################################################################
# create the BarChart instance
