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notes_estom/Python/matplotlab/gallery/mplot3d/surface3d_radial.md
2020-09-26 22:03:11 +08:00

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# 极坐标下的三维曲面
演示绘制在极坐标中定义的曲面。使用YlGnBu颜色映射的反转版本。还演示了使用乳胶数学模式编写轴标签。
示例由Armin Moser提供。
![极坐标下的三维曲面示例](https://matplotlib.org/_images/sphx_glr_surface3d_radial_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
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# Create the mesh in polar coordinates and compute corresponding Z.
r = np.linspace(0, 1.25, 50)
p = np.linspace(0, 2*np.pi, 50)
R, P = np.meshgrid(r, p)
Z = ((R**2 - 1)**2)
# Express the mesh in the cartesian system.
X, Y = R*np.cos(P), R*np.sin(P)
# Plot the surface.
ax.plot_surface(X, Y, Z, cmap=plt.cm.YlGnBu_r)
# Tweak the limits and add latex math labels.
ax.set_zlim(0, 1)
ax.set_xlabel(r'$\phi_\mathrm{real}$')
ax.set_ylabel(r'$\phi_\mathrm{im}$')
ax.set_zlabel(r'$V(\phi)$')
plt.show()
```
## 下载这个示例
- [下载python源码: surface3d_radial.py](https://matplotlib.org/_downloads/surface3d_radial.py)
- [下载Jupyter notebook: surface3d_radial.ipynb](https://matplotlib.org/_downloads/surface3d_radial.ipynb)