8000 Minor improvements to quadmesh_demo. by anntzer · Pull Request #10325 · matplotlib/matplotlib · GitHub
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Minor improvements to quadmesh_demo. #10325

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Jan 29, 2018
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Minor improvements to quadmesh_demo. #10325

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39 changes: 20 additions & 19 deletions examples/images_contours_and_fields/quadmesh_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,37 +9,38 @@
This demo illustrates a bug in quadmesh with masked data.
"""

import copy

from matplotlib import cm, colors, pyplot as plt
import numpy as np
from matplotlib.pyplot import figure, show, savefig
from matplotlib import cm, colors
from numpy import ma

n = 12
x = np.linspace(-1.5, 1.5, n)
y = np.linspace(-1.5, 1.5, n * 2)
X, Y = np.meshgrid(x, y)
Qx = np.cos(Y) - np.cos(X)
Qz = np.sin(Y) + np.sin(X)
Qx = (Qx + 1.1)
Z = np.sqrt(X**2 + Y**2) / 5
Z = (Z - Z.min()) / (Z.max() - Z.min())

# The color array can include masked values:
Zm = ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
# The color array can include masked values.
Zm = np.ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)

fig, axs = plt.subplots(1, 3)
axs[0].pcolormesh(Qx, Qz, Z, shading='gouraud')
axs[0].set_title('Without masked values')

fig = figure()
ax = fig.add_subplot(121)
ax.pcolormesh(Qx, Qz, Z, shading='gouraud')
ax.set_title('Without masked values')
# You can control the color of the masked region. We copy the default colormap
# before modifying it.
cmap = copy.copy(cm.get_cmap(plt.rcParams['image.cmap']))
cmap.set_bad('y', 1.0)
axs[1].pcolormesh(Qx, Qz, Zm, shading='gouraud', cmap=cmap)
axs[1].set_title('With masked values')

ax = fig.add_subplot(122)
# You can control the color of the masked region:
# cmap = cm.RdBu
# cmap.set_bad('y', 1.0)
# ax.pcolormesh(Qx, Qz, Zm, cmap=cmap)
# Or use the default, which is transparent:
col = ax.pcolormesh(Qx, Qz, Zm, shading='gouraud')
ax.set_title('With masked values')
# Or use the default, which is transparent.
axs[2].pcolormesh(Qx, Qz, Zm, shading='gouraud')
axs[2].set_title('With masked values')

fig.tight_layout()

show()
plt.show()
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