Change Matplotlib Background Color With Examples

Hello geeks!! In this article, we will learn about the matplotlib background color. We will see the different ways to change or modify the background color of a matplotlib graph. So, without wasting any time, let us get into the topic.

Prerequisites for changing background color:

  • Matplotlib Matplotlib is a plotting library used in the python library with NumPy as an extension.
  • NumPy- It is a library in Python that is basically used to work with an array. It can also work for linear algebra Fourier transform and matrices.

From the below figure, we can observe that the plot comprises X-axis, Y-axis, plot title, and axes. The background color of the plot is white, by default. And if we have to change the plot’s background color to make it look more attractive, we have to make axes object axes() after plotting the graph.

Approach for changing the matplotlib background color

Approach for changing the background color:

  • At first, we have to import the respective module
  • Secondly, we have to load or create data
  • Next, we have to plot a regular graph
  • Then create axes object
  • Finally, set an attribute as a set_facecolor() to the required color. And it could accept both color code and the name of the color.

Syntax:

Axes.set_facecolor(selfcolor)

Parameters:

  • color: The color of the background

Illustrated Example:

So now let us understand with suitable example:

Example 1: Matplotlib graph with default background

import matplotlib.pyplot as plt 
Marks = [50, 60, 70, 80, 90] 
Grade = ['B', 'B', 'B+', 'B+', 'A'] 
plt.plot(student_marks, student_grade) 
plt.xlabel("Marks", fontweight='bold') 
plt.ylabel("Grade", fontweight='bold') 
plt.show() 

Matplotlib Graph With Default Background
  • According to the above example, we can see that we have imported library matplotlib to plot the graph.
  • Next, we have declared two lists,’ Marks’ and ‘grade,’ and assigned them with certain values accordingly.
  • Then we used the plot() method to plot the graph with the given parameter.
  • We then use xlebel and ylebel to lebel X and Y-axis, respectively.
  • And finally, we have used the show() method to display the corresponding graph.

Example 2: Matplotlib graph with Custom background:

import matplotlib.pyplot as plt 
Marks = [50, 60, 70, 80, 90] 
Grade = ['B', 'B', 'B+', 'B+', 'A'] 
plt.plot(Marks,Grade) 
plt.xlabel("Marks", fontweight='bold') 

plt.ylabel("Grade", fontweight='bold') 
ax = plt.axes() 
ax.set_facecolor("#99c2ff") 
plt.show() 
Matplotlib Graph With Custom Background

In this example, we have the same steps are the previous example. The only difference is that we have used the axes() method object to change the figure’s background color using the facecolor() method.

Example 3: Setting Outer and Inner color of the plot

import matplotlib.pyplot as plt 
Marks = [50, 60, 70, 80, 90] 
Grade = ['B', 'B', 'B+', 'B+', 'A'] 

 
plt.figure(facecolor='#008060') 
plt.plot(Marks,Grade) 
plt.xlabel("Marks", fontweight='bold')
plt.ylabel("Grade", fontweight='bold') 
ax = plt.axes() 
ax.set_facecolor("#99c2ff") 
plt.show() 

Setting Outer and Inner color of plot

As you can see, in this example, we have set both an outer color and an inner color as a background color of our plot. We have used the ‘facecolor’ attribute of ‘plt.figure()’ to set the background color of the plot’s outer area. And then, like the previous example, we used the set_facecolor() method of the axes() object to set the background color of the plot.

Conclusion:

With this, we come to an end with this article. These are the various ways to change the background color in matplotlib. I hope that you were able to gain some knowledge from this article.

However, if you have any doubts or questions, do let me know in the comment section below. I will try to help you as soon as possible.

Happy Pythoning!

0 0 vote
Article Rating
Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments