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Change the default background color for Matplotlib plots
To change the default background color for Matplotlib plots, we can take the following steps −
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Get the current axis.
- Add a subplot to the current figure, with nrows=1, ncols=2 and index=1.
- Plot random x and y data points using plots() method.
- Set the title of the subplot.
- Add a subplot to the current figure with nrows=1, ncols=2 and index=2.
- Get the current axis.
- Set the customize face color.
- Plot x and y data points using plot() method.
- Set the title of the plot.
- 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()
print("Default face color is: ", ax.get_facecolor())
plt.subplot(121)
plt.plot(np.random.rand(10), np.random.rand(10))
plt.title("With default face color")
plt.subplot(122)
ax = plt.gca()
ax.set_facecolor("orange")
plt.plot(np.random.rand(10), np.random.rand(10))
plt.title("With customize face color")
plt.show()Output
Updated on: 16-Jun-2021
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