matplotlib & pandas

Python/matplotlab/gallery/mplot3d/bars3d.md

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+# 在不同的平面中创建二维条形图
+
+演示制作3D绘图，其中2D条形图投影到平面y = 0，y = 1等。
+
+![在不同的平面中创建二维条形图示例](https://matplotlib.org/_images/sphx_glr_bars3d_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
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig = plt.figure()
+ax = fig.add_subplot(111, projection='3d')
+
+colors = ['r', 'g', 'b', 'y']
+yticks = [3, 2, 1, 0]
+for c, k in zip(colors, yticks):
+    # Generate the random data for the y=k 'layer'.
+    xs = np.arange(20)
+    ys = np.random.rand(20)
+
+    # You can provide either a single color or an array with the same length as
+    # xs and ys. To demonstrate this, we color the first bar of each set cyan.
+    cs = [c] * len(xs)
+    cs[0] = 'c'
+
+    # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
+    ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)
+
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_zlabel('Z')
+
+# On the y axis let's only label the discrete values that we have data for.
+ax.set_yticks(yticks)
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: bars3d.py](https://matplotlib.org/_downloads/bars3d.py)
+- [下载Jupyter notebook: bars3d.ipynb](https://matplotlib.org/_downloads/bars3d.ipynb)