How to Create a Pie Chart in Seaborn?

In this article, we will learn how to plot pie charts using seaborn and matplotlib.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.

Syntax to install seaborn and matplotlib libraries:

pip install seaborn

pip install matplotlib

Example 1: 

Let’s take an example of 5 classes with some students in it and plot a pie chart on the basic number of students in each class.

Python3

# importing libraries
import matplotlib.pyplot as plt
import seaborn

# declaring data
data = [44, 45, 40, 41, 39]
keys = ['Class 1', 'Class 2', 'CLass 3', 'Class 4', 'Class 5']

# define Seaborn color palette to use
palette_color = seaborn.color_palette('bright')

# plotting data on chart
plt.pie(data, labels=keys, colors=palette_color, autopct='%.0f%%')

# displaying chart
plt.show()

Output:

Example 2:

Now let’s plot a pie chart with a different palette and explode.

Python3

# importing libraries
import matplotlib.pyplot as plt
import seaborn

# declaring data
data = [44, 45, 40, 41, 39]
keys = ['Class 1', 'Class 2', 'CLass 3', 'Class 4', 'Class 5']

# declaring exploding pie
explode = [0, 0.1, 0, 0, 0]
# define Seaborn color palette to use
palette_color = seaborn.color_palette('dark')

# plotting data on chart
plt.pie(data, labels=keys, colors=palette_color,
        explode=explode, autopct='%.0f%%')

# displaying chart
plt.show()

Output: