customize seaborn plot

The solution for this is noted below

customize seaborn plot

Solution

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

# Create containers for Subplots
fig, (ax0, ax1) = plt.subplots(nrows=1, ncols=2,
sharey=True, figsize=(7,4))
# Put plots into containers
sns.histplot(df['col1'], stat='density', ax=ax0)
sns.histplot(df['col2'], stat='density', ax=ax1)
ax1.set(xlabel="X axis label", ylabel="Y axis label", xlim=(0, 50000),
    title="Some title")
ax1.axvline(x=20000, label='Vertical legend', linestyle='--')
ax1.legend()

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