Note
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pcolormesh(X, Y, Z)#
pcolormesh
is more flexible than imshow
in that
the x and y vectors need not be equally spaced (indeed they can be skewed).
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('_mpl-gallery-nogrid')
# make data with uneven sampling in x
x = [-3, -2, -1.6, -1.2, -.8, -.5, -.2, .1, .3, .5, .8, 1.1, 1.5, 1.9, 2.3, 3]
X, Y = np.meshgrid(x, np.linspace(-3, 3, 128))
Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
# plot
fig, ax = plt.subplots()
ax.pcolormesh(X, Y, Z, vmin=-0.5, vmax=1.0)
plt.show()