How to format seaborn plots

Question

The following code produces 2 side-by-side plots. However, I would like to push the right plot to the right so that its label shows detached from the left plot. How can I do it? I could not find any option in subplots, nor in countplot

here is the code:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
data = {
    'apples': [3, 2, 0, np.nan, 2],
    'oranges': [0, 7, 7, 2, 7],
    'figs':[1, np.nan, 10, np.nan, 10]
}
purchases = pd.DataFrame(data)
fig, ax =plt.subplots(1,2)

sns.countplot(purchases['apples'], ax=ax[0])
sns.countplot(purchases['oranges'], ax=ax[1])
show()

Answer 1

In order to make your data play nicely with seaborn, consider changing your dataframe to the "long" format and plotting all categories and their corresponding count with sns.catplot:

data = purchases.stack().droplevel(0).reset_index()
data.columns = ['fruit', 'number']
print(data.head(5))

# output:
#      fruit  number
# 0   apples     3.0
# 1  oranges     0.0
# 2     figs     1.0
# 3   apples     2.0
# 4  oranges     7.0

sns.catplot(data=data, x='number', kind='count', col='fruit') 
plt.show()

output:

Answer 2

An option is tight_layout:

fig, ax =plt.subplots(1,2)

sns.countplot(purchases['apples'], ax=ax[0])
sns.countplot(purchases['oranges'], ax=ax[1])
plt.tight_layout()

output: