Python Pandas - Draw a vertical violinplot grouped by a categorical variable with Seaborn

Violin Plot in Seaborn is used to draw a combination of boxplot and kernel density estimate. The seaborn.violinplot() is used for this. We will plotti violin plot with the columns grouped by a categorical variable.

Let’s say the following is our dataset in the form of a CSV file − Cricketers.csv

At first, import the required libraries −

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

Load data from a CSV file into a Pandas DataFrame −

dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\Cricketers.csv")

Plotting violin plot with Role and Age grouped by a categorical variable −

sb.violinplot(x = 'Role', y = "Age", data = dataFrame)

Example

Following is the code −

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

# Load data from a CSV file into a Pandas DataFrame:
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\Cricketers.csv")

# plotting violin plot with Role and Age
# grouped by a categorical variable
sb.violinplot(x = 'Role', y = "Age", data = dataFrame)

# display
plt.show()

Output

This will produce the following output −