matplotlib & pandas

Python/matplotlab/gallery/mplot3d/2dcollections3d.md

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+# 在3D绘图上绘制2D数据
+
+演示使用ax.plot的zdir关键字在3D绘图的选择轴上绘制2D数据。
+
+![在3D绘图上绘制2D数据示例](https://matplotlib.org/_images/sphx_glr_2dcollections3d_001.png)
+
+```python
+# This import registers the 3D projection, but is otherwise unused.
+from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
+
+import numpy as np
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+ax = fig.gca(projection='3d')
+
+# Plot a sin curve using the x and y axes.
+x = np.linspace(0, 1, 100)
+y = np.sin(x * 2 * np.pi) / 2 + 0.5
+ax.plot(x, y, zs=0, zdir='z', label='curve in (x,y)')
+
+# Plot scatterplot data (20 2D points per colour) on the x and z axes.
+colors = ('r', 'g', 'b', 'k')
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+x = np.random.sample(20 * len(colors))
+y = np.random.sample(20 * len(colors))
+c_list = []
+for c in colors:
+    c_list.extend([c] * 20)
+# By using zdir='y', the y value of these points is fixed to the zs value 0
+# and the (x,y) points are plotted on the x and z axes.
+ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x,z)')
+
+# Make legend, set axes limits and labels
+ax.legend()
+ax.set_xlim(0, 1)
+ax.set_ylim(0, 1)
+ax.set_zlim(0, 1)
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_zlabel('Z')
+
+# Customize the view angle so it's easier to see that the scatter points lie
+# on the plane y=0
+ax.view_init(elev=20., azim=-35)
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: 2dcollections3d.py](https://matplotlib.org/_downloads/2dcollections3d.py)
+- [下载Jupyter notebook: 2dcollections3d.ipynb](https://matplotlib.org/_downloads/2dcollections3d.ipynb)