# 三角形三维等高线图

非结构化三角形网格的等高线图。

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。

![三角形三维等高线图示例](https://matplotlib.org/_images/sphx_glr_tricontour3d_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 matplotlib.tri as tri
import numpy as np

n_angles = 48
n_radii = 8
min_radius = 0.25

# Create the mesh in polar coordinates and compute x, y, z.
radii = np.linspace(min_radius, 0.95, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
angles[:, 1::2] += np.pi/n_angles

x = (radii*np.cos(angles)).flatten()
y = (radii*np.sin(angles)).flatten()
z = (np.cos(radii)*np.cos(3*angles)).flatten()

# Create a custom triangulation.
triang = tri.Triangulation(x, y)

# Mask off unwanted triangles.
triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
                         y[triang.triangles].mean(axis=1))
                < min_radius)

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.tricontour(triang, z, cmap=plt.cm.CMRmap)

# Customize the view angle so it's easier to understand the plot.
ax.view_init(elev=45.)

plt.show()
```

## 下载这个示例
            
- [下载python源码: tricontour3d.py](https://matplotlib.org/_downloads/tricontour3d.py)
- [下载Jupyter notebook: tricontour3d.ipynb](https://matplotlib.org/_downloads/tricontour3d.ipynb)