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 librariesimport matplotlib.pyplot as pltimport seaborn # declaring datadata = [44, 45, 40, 41, 39]keys = ['Class 1', 'Class 2', 'CLass 3', 'Class 4', 'Class 5'] # define Seaborn color palette to usepalette_color = seaborn.color_palette('bright') # plotting data on chartplt.pie(data, labels=keys, colors=palette_color, autopct='%.0f%%') # displaying chartplt.show() |
Output:
Example 2:
Now let’s plot a pie chart with a different palette and explode.
Python3
# importing librariesimport matplotlib.pyplot as pltimport seaborn # declaring datadata = [44, 45, 40, 41, 39]keys = ['Class 1', 'Class 2', 'CLass 3', 'Class 4', 'Class 5'] # declaring exploding pieexplode = [0, 0.1, 0, 0, 0]# define Seaborn color palette to usepalette_color = seaborn.color_palette('dark') # plotting data on chartplt.pie(data, labels=keys, colors=palette_color, explode=explode, autopct='%.0f%%') # displaying chartplt.show() |
Output:
