seaborn.countplot() in Python

seaborn.countplot() is a function in the Seaborn library in Python used to display the counts of observations in categorical data. It shows the distribution of a single categorical variable or the relationship between two categorical variables by creating a bar plot. Example:

import seaborn as sns
import matplotlib.pyplot as plt

# read a tips.csv file from seaborn library
df = sns.load_dataset('tips')

# count plot on single categorical variable
sns.countplot(x ='sex', data = df)

plt.show()

Output :