How can I plot NaN values as a special color with imshow in Matplotlib?

First, we can create an array matrix with some np.nan value, and using imshow method, we can create a diagram for that matrix.

Steps

• Create a new figure, or activate an existing figure.

• Add an `~.axes.Axes` to the figure as part of a subplot arrangement, nrows = 1, ncols = 1, index = 1.

• Create a 2D array with np.nan.

• Display data as an image, i.e., on a 2D regular raster.

• Use the draw() method which draws the drawing at the given location.

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

Example

import numpy as np import matplotlib.pyplot as plt f = plt.figure() ax = f.add_subplot(111) a = [       [1, 3, 5, np.nan, 8, 9, np.nan],       [11, 13, 51, 71, 18, 19, 10],       [11, 31, 51, 71, 81, 91, 10],       [10, 30, 50, 70, np.nan, np.nan, np.nan],       [np.nan, 3, 5, np.nan, 8, 9, np.nan]    ] ax.imshow(a, interpolation='nearest', vmin=0, vmax=24) f.canvas.draw() plt.show()

Output