3D表面图中的自定义山体的阴影

演示在3D曲面图中使用自定义山体阴影。

3D表面图中的自定义山体的阴影示例

  1. # This import registers the 3D projection, but is otherwise unused.
  2. from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
  4. from matplotlib import cbook
  5. from matplotlib import cm
  6. from matplotlib.colors import LightSource
  7. import matplotlib.pyplot as plt
  8. import numpy as np
  10. # Load and format data
  11. filename = cbook.get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
  12. with np.load(filename) as dem:
  13.     z = dem['elevation']
  14.     nrows, ncols = z.shape
  15.     x = np.linspace(dem['xmin'], dem['xmax'], ncols)
  16.     y = np.linspace(dem['ymin'], dem['ymax'], nrows)
  17.     x, y = np.meshgrid(x, y)
  19. region = np.s_[5:50, 5:50]
  20. x, y, z = x[region], y[region], z[region]
  22. # Set up plot
  23. fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
  25. ls = LightSource(270, 45)
  26. # To use a custom hillshading mode, override the built-in shading and pass
  27. # in the rgb colors of the shaded surface calculated from "shade".
  28. rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1, blend_mode='soft')
  29. surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
  30.                        linewidth=0, antialiased=False, shade=False)
  32. plt.show()

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