matplotlib & pandas

Python/matplotlab/gallery/mplot3d/surface3d_radial.md

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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)