Note
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Contour corner mask#
Illustrate the difference between corner_mask=False
and
corner_mask=True
for masked contour plots. The default is controlled by
rcParams["contour.corner_mask"]
(default: True
).
import matplotlib.pyplot as plt
import numpy as np
# Data to plot.
x, y = np.meshgrid(np.arange(7), np.arange(10))
z = np.sin(0.5 * x) * np.cos(0.52 * y)
# Mask various z values.
mask = np.zeros_like(z, dtype=bool)
mask[2, 3:5] = True
mask[3:5, 4] = True
mask[7, 2] = True
mask[5, 0] = True
mask[0, 6] = True
z = np.ma.array(z, mask=mask)
corner_masks = [False, True]
fig, axs = plt.subplots(ncols=2)
for ax, corner_mask in zip(axs, corner_masks):
cs = ax.contourf(x, y, z, corner_mask=corner_mask)
ax.contour(cs, colors='k')
ax.set_title(f'{corner_mask=}')
# Plot grid.
ax.grid(c='k', ls='-', alpha=0.3)
# Indicate masked points with red circles.
ax.plot(np.ma.array(x, mask=~mask), y, 'ro')
plt.show()
References
The use of the following functions, methods, classes and modules is shown in this example:
Total running time of the script: (0 minutes 1.012 seconds)