Order categories by count in a countplot

This functionality is not built into seaborn.countplot as far as I know – the order parameter only accepts a list of strings for the categories, and leaves the ordering logic to the user.

This is not hard to do with value_counts() provided you have a DataFrame though. For example,

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

sns.set(style="darkgrid")

titanic = sns.load_dataset('titanic')
sns.countplot(x = 'class',
              data = titanic,
              order = titanic['class'].value_counts().index)
plt.show()