matplotlib & pandas

Python/matplotlab/gallery/mplot3d/mixed_subplots.md

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+# 相同图中的2D和3D轴
+
+此示例显示如何在同一图上绘制2D和3D绘图。
+
+![相同图中的2D和3D轴示例](https://matplotlib.org/_images/sphx_glr_mixed_subplots_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
+
+
+def f(t):
+    s1 = np.cos(2*np.pi*t)
+    e1 = np.exp(-t)
+    return np.multiply(s1, e1)
+
+
+# Set up a figure twice as tall as it is wide
+fig = plt.figure(figsize=plt.figaspect(2.))
+fig.suptitle('A tale of 2 subplots')
+
+# First subplot
+ax = fig.add_subplot(2, 1, 1)
+
+t1 = np.arange(0.0, 5.0, 0.1)
+t2 = np.arange(0.0, 5.0, 0.02)
+t3 = np.arange(0.0, 2.0, 0.01)
+
+ax.plot(t1, f(t1), 'bo',
+        t2, f(t2), 'k--', markerfacecolor='green')
+ax.grid(True)
+ax.set_ylabel('Damped oscillation')
+
+# Second subplot
+ax = fig.add_subplot(2, 1, 2, projection='3d')
+
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,
+                       linewidth=0, antialiased=False)
+ax.set_zlim(-1, 1)
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: mixed_subplots.py](https://matplotlib.org/_downloads/mixed_subplots.py)
+- [下载Jupyter notebook: mixed_subplots.ipynb](https://matplotlib.org/_downloads/mixed_subplots.ipynb)