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52 lines
1.6 KiB
Markdown
52 lines
1.6 KiB
Markdown
# 三角形三维等高线图
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非结构化三角形网格的等高线图。
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使用的数据与trisurf3d_demo2的第二个图中的数据相同。 tricontourf3d_demo显示此示例的填充版本。
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```python
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# This import registers the 3D projection, but is otherwise unused.
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from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
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import matplotlib.pyplot as plt
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import matplotlib.tri as tri
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import numpy as np
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n_angles = 48
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n_radii = 8
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min_radius = 0.25
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# Create the mesh in polar coordinates and compute x, y, z.
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radii = np.linspace(min_radius, 0.95, n_radii)
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angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
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angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
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angles[:, 1::2] += np.pi/n_angles
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x = (radii*np.cos(angles)).flatten()
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y = (radii*np.sin(angles)).flatten()
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z = (np.cos(radii)*np.cos(3*angles)).flatten()
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# Create a custom triangulation.
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triang = tri.Triangulation(x, y)
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# Mask off unwanted triangles.
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triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
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y[triang.triangles].mean(axis=1))
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< min_radius)
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fig = plt.figure()
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ax = fig.gca(projection='3d')
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ax.tricontour(triang, z, cmap=plt.cm.CMRmap)
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# Customize the view angle so it's easier to understand the plot.
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ax.view_init(elev=45.)
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plt.show()
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```
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## 下载这个示例
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- [下载python源码: tricontour3d.py](https://matplotlib.org/_downloads/tricontour3d.py)
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- [下载Jupyter notebook: tricontour3d.ipynb](https://matplotlib.org/_downloads/tricontour3d.ipynb) |