Displaying distribution of categorical variables in Pandas

Asked Mar 30 '16 at 16:34

Active Mar 30 '16 at 16:34

Viewed 1,359 times

A great feature supported by Pandas is the data.hist(). The hist function allows me to visualize the distribution of numerical values. However, that being said: it only allows me to view the distribution for numerical variables.

If I wanted to view the distribution of categorical variables, I'd need to run select_dtypes in a for loop as follows:

import matplotlib.pyplot as plt

for col in tips.select_dtypes(include=["category"]):
    tips[col].value_counts().plot(kind='bar')
    plt.show()

Is there an easier (more Pythonic) way to view the distribution of categorical variables.

asked Mar 30 '16 at 16:34

Take a look at https://stanford.edu/~mwaskom/software/seaborn/tutorial/categorical.html – Stefan Mar 30 '16 at 17:07
Thanks Stefan, I am familiar with Seaborn - but I'd love to stick with the pandas ecosystem. – Mar 30 '16 at 17:08
@Phil it would probably help if you explained *why* "absolutely not". Assuming that you meant that the duplicate doesn't apply. The accepted answer seems to do the same thing you're doing in the loop. – Andras Deak -- Слава Україні Apr 06 '16 at 19:32
I have a solution at https://stackoverflow.com/a/54266570/5084355 – Roman Orac Jan 19 '19 at 11:26

Displaying distribution of categorical variables in Pandas

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