Set Default Colormap in Matplotlib

To set a default colormap in matplotlib, we can take the following steps −

• Create random data using numpy, array dimension 4×4.

• Create two axes and one figure using subplots() method.

• Display the data as an image with the default colormap.

• Set the title of the image, for the default colormap.

• Set the default colormap using matplotlib rcParams.

• Display the data as an image, with set default colormap.

• Set the title of the image, for the default colormap.

• Adjust the padding between and around the subplots.

• To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
import matplotlib as mpl
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
data = np.random.rand(4, 4)
fig, (ax1, ax2) = plt.subplots(2)
ax1.imshow(data)
ax1.set_title("Default colormap")
mpl.rc('image', cmap='RdYlBu_r')
ax2.imshow(data)
ax2.set_title("Set default colormap")
plt.show()

Output