matplotlib & pandas

Python/matplotlab/gallery/mplot3d/custom_shaded_3d_surface.md

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+# 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](https://matplotlib.org/_images/sphx_glr_custom_shaded_3d_surface_001.png)
+
+```python
+# 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
+filename = cbook.get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
+with np.load(filename) 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()
+```
+
+## 下载这个示例
+            
+- [下载python源码: custom_shaded_3d_surface.py](https://matplotlib.org/_downloads/custom_shaded_3d_surface.py)
+- [下载Jupyter notebook: custom_shaded_3d_surface.ipynb](https://matplotlib.org/_downloads/custom_shaded_3d_surface.ipynb)