![]() You can find more Matplotlib tutorials here. #add overall title and adjust it so that it doesn't overlap with subplot titles If you have an overall title, you can use the subplots_adjust() function to ensure that it doesn’t overlap with the subplot titles: import matplotlib.pyplot as plt The way to resolve this issue is by increasing the height padding between subplots using the h_pad argument: import matplotlib.pyplot as plt Unfortunately even the tight_layout() function tends to cause the subplot titles to overlap: import matplotlib.pyplot as plt In some cases you may also have titles for each of your subplots. The easiest way to resolve this overlapping issue is by using the Matplotlib tight_layout() function: import matplotlib.pyplot as plt Adjust Spacing of Subplots Using tight_layout() ![]() Notice how the subplots overlap each other a bit. Create SubplotsĬonsider the following arrangement of 4 subplots in 2 columns and 2 rows: import matplotlib.pyplot as plt This tutorial explains how to use this function in practice. The easiest way to resolve this issue is by using the Matplotlib tight_layout() function. ![]() Here’s a simple example: import matplotlib.pyplot as plt Create a new figure fig plt.figure() Add two subplots ax1 fig.addsubplot(2, 1, 1) two rows, one column, first plot ax2 fig.addsubplot(2, 1, 2) two rows. Unfortunately, these subplots tend to overlap each other by default. Before we dive into adding figures to subplots, let’s first understand how to create a basic subplot in Matplotlib. Often you may use subplots to display multiple plots alongside each other in Matplotlib. ![]()
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