Seaborn.countplot : order categories by count?

Question

I know that seaborn.countplot has the attribute order which can be set to determine the order of the categories. But what I would like to do is have the categories

Answer 1

Most often, a seaborn countplot is not really necessary. Just plot with pandas bar plot:

import seaborn as sns; sns.set(style='darkgrid')
import matplotlib.pyplot as plt

df = sns.load_dataset('titanic')

df['class'].value_counts().plot(kind="bar")

plt.show()

Answer 2

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()