How do I plot counts of values in each column on a single chart using Matplotlib?

Question

I have a Pandas DataFrame:

cols = ["A", "B", "C", "D", "E"]
values = [[True, True, True, False, False],
          [False, True, True, True, False], 
          [True, True, False, False, False], 
          [False, False, False, False, True]]

dummy_df = pd.DataFrame(values, columns=cols)
dummy_df

How will I plot this as a grouped bar chart using matplotlib? I want the result to look something like this...

jezrael · Accepted Answer · 2020-08-10 13:23:13Z

2

You can coun each column in DataFrame.apply, transpose and call DataFrame.plot.bar:

cols = list('ABCDE')
values = [[True, True, True, False, False],
          [False, True, True, True, False], 
          [True, True, False, False, False], 
          [False, False, False, False, True]]

dummy_df = pd.DataFrame(values, columns=cols)

dummy_df.apply(pd.value_counts).T.plot.bar()

edited Aug 10, 2020 at 13:23

answered Aug 10, 2020 at 13:15

jezrael

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