matplotlib & pandas

Python/matplotlab/gallery/mplot3d/trisurf3d.md

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+# 三角三维曲面
+
+用三角形网格绘制3D表面。
+
+![三角三维曲面示例](https://matplotlib.org/_images/sphx_glr_trisurf3d_001.png)
+
+```python
+# This import registers the 3D projection, but is otherwise unused.
+from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+n_radii = 8
+n_angles = 36
+
+# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).
+radii = np.linspace(0.125, 1.0, n_radii)
+angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)[..., np.newaxis]
+
+# Convert polar (radii, angles) coords to cartesian (x, y) coords.
+# (0, 0) is manually added at this stage,  so there will be no duplicate
+# points in the (x, y) plane.
+x = np.append(0, (radii*np.cos(angles)).flatten())
+y = np.append(0, (radii*np.sin(angles)).flatten())
+
+# Compute z to make the pringle surface.
+z = np.sin(-x*y)
+
+fig = plt.figure()
+ax = fig.gca(projection='3d')
+
+ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: trisurf3d.py](https://matplotlib.org/_downloads/trisurf3d.py)
+- [下载Jupyter notebook: trisurf3d.ipynb](https://matplotlib.org/_downloads/trisurf3d.ipynb)