Turn Pandas DataFrame of strings into histogram

Question

Suppose I have a DataFrame of created like this:

import pandas as pd
s1 = pd.Series([\'a\', \'b\', \'a\', \'c\', \'a\', \'b\'])
s2 = pd.Series([\'a\', \'f\',         


        

Answer 1

Recreating the dataframe:

import pandas as pd
s1 = pd.Series(['a', 'b', 'a', 'c', 'a', 'b'])
s2 = pd.Series(['a', 'f', 'a', 'd', 'a', 'f', 'f'])
d = pd.DataFrame({'s1': s1, 's2': s2})

To get the histogram with subplots as desired:

d.apply(pd.value_counts).plot(kind='bar', subplots=True)

The OP mentioned pd.value_counts in the question. I think the missing piece is just that there is no reason to "manually" create the desired bar plot.

The output from d.apply(pd.value_counts) is a pandas dataframe. We can plot the values like any other dataframe, and selecting the option subplots=True gives us what we want.