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Python | Categorical Plotting

Python | Categorical Plotting: In this tutorial, we will learn about the categorical plotting and its Python implementation. By Anuj Singh Last updated : August 18, 2023

Categorical Plotting

Visualizing different variables is also a part of basic plotting. Such variables can have different classes, for example, numerical or a category. Matplotlib has an important feature of Categorical Plotting. We can plot multiple categorical variables within different types of plots such as line, dot, bar, scatter, etc.

Syntax

matplotlib.pyplot.figure(figsize=(4,3))

#figsize(float, float)
width, height in inches.

Examples

Following are some examples of categorical plotting:

Example 1: Line Plot

Example 2: Bar Plot

Example 3: Dot Plot

Python program for categorical plotting

# Data Visualization using Python
# Categorical Plotting

import matplotlib.pyplot as plt

names = ['Rabhes', 'Grpsh J.', 'John C. Dave']
values = [45646, 75640, 42645]

# example 1
plt.figure()
plt.plot(names, values, color='y')
plt.ylabel('Income')
plt.title('Income Comparison')
plt.show()

# example 2
plt.figure()
plt.bar(names, values, color='y')
plt.ylabel('Income')
plt.title('Income Comparison')
plt.show()

# example 3
plt.figure()
plt.plot(names, values, 'or')
plt.ylabel('Income')
plt.title('Income Comparison')
plt.show()

Output:

Output is as figure