Version 3.1.2
matplotlib

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Custom hillshading in a 3D surface plotΒΆ

Demonstrates using custom hillshading in a 3D surface plot.

Traceback (most recent call last):
  File "/build/matplotlib-tq5J6U/matplotlib-3.1.2/examples/mplot3d/custom_shaded_3d_surface.py", line 1
    =======================================
    ^
SyntaxError: invalid syntax
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Custom hillshading in a 3D surface plot
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Demonstrates using custom hillshading in a 3D surface plot.
"""

# This import registers the 3D projection, but is otherwise unused.
from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import

from matplotlib import cbook
from matplotlib import cm
from matplotlib.colors import LightSource
import matplotlib.pyplot as plt
import numpy as np

# Load and format data
with cbook.get_sample_data('jacksboro_fault_dem.npz') as file, \
     np.load(file) as dem:
    z = dem['elevation']
    nrows, ncols = z.shape
    x = np.linspace(dem['xmin'], dem['xmax'], ncols)
    y = np.linspace(dem['ymin'], dem['ymax'], nrows)
    x, y = np.meshgrid(x, y)

region = np.s_[5:50, 5:50]
x, y, z = x[region], y[region], z[region]

# Set up plot
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))

ls = LightSource(270, 45)
# To use a custom hillshading mode, override the built-in shading and pass
# in the rgb colors of the shaded surface calculated from "shade".
rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1, blend_mode='soft')
surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
                       linewidth=0, antialiased=False, shade=False)

plt.show()

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