How to limit the number of groups shown in a Seaborn countplot using Matplotlib?

To limit the number of groups shown in a Seaborn countplot, we can use a variable group_count, used in countplot() method arguments.

Steps

Create a figure and two sets of subplots.
Create a data frame using Pandas, with two keys.
Initalize a variable group_count to limit the group count in countplot() method.
Use countplot() method to show the counts of observations in each categorical bin using bars.
Adjust the padding between and around the subplots.

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), col3=np.linspace(1, 10, 5)))
group_count = 1
sns.countplot(df.col1, x='col1', color="red", ax=axes[0], order=df.col1.value_counts().iloc[:group_count].index)
sns.countplot(df.col2, x="col2", color="green", ax=axes[1], order=df.col2.value_counts().iloc[:group_count].index)
plt.tight_layout()
plt.show()