How to plot two Seaborn lmplots side-by-side (Matplotlib)?

To plot two graphs side-by-side in Seaborn, we can take the following steps −

To create two graphs, we can use nrows=1, ncols=2 with figure size (7, 7).
Create a data frame with keys, col1 and col2, using Pandas.
Use countplot() to show the counts of observations in each categorical bin using bars.
Adjust the padding between and around the subplots.
To display the figure, use show() method.

Example

import pandas as pd
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
f, axes = plt.subplots(1, 2)
df = pd.DataFrame(dict(col1=np.linspace(1, 10, 5), col2=np.linspace(1, 10, 5)))
sns.countplot(df.col1, x='col1', color="red", ax=axes[0])
sns.countplot(df.col2, x="col2", color="green", ax=axes[1])
plt.show()