
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Change Axes Background Color in Matplotlib
To change the axes background color, we can use set_facecolor() method.
Steps
Set the figure size and adjust the padding between and around the subplots.
Get the current axes using gca() method.
Set the facecolor of the axes.
Create x and y data points using numpy.
Plot x and y data points using plot() method.
To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True ax = plt.gca() ax.set_facecolor("orange") x = np.linspace(-2, 2, 10) y = np.exp(-x) plt.plot(x, y, color='red') plt.show()
Output
Advertisements