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49 lines
1.4 KiB
Markdown
49 lines
1.4 KiB
Markdown
# 在不同的平面中创建二维条形图
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演示制作3D绘图，其中2D条形图投影到平面y = 0，y = 1等。
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```python
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# This import registers the 3D projection, but is otherwise unused.
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from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
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import matplotlib.pyplot as plt
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import numpy as np
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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fig = plt.figure()
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ax = fig.add_subplot(111, projection='3d')
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colors = ['r', 'g', 'b', 'y']
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yticks = [3, 2, 1, 0]
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for c, k in zip(colors, yticks):
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# Generate the random data for the y=k 'layer'.
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xs = np.arange(20)
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ys = np.random.rand(20)
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# You can provide either a single color or an array with the same length as
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# xs and ys. To demonstrate this, we color the first bar of each set cyan.
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cs = [c] * len(xs)
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cs[0] = 'c'
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# Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
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ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)
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ax.set_xlabel('X')
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ax.set_ylabel('Y')
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ax.set_zlabel('Z')
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# On the y axis let's only label the discrete values that we have data for.
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ax.set_yticks(yticks)
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plt.show()
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```
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## 下载这个示例
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- [下载python源码: bars3d.py](https://matplotlib.org/_downloads/bars3d.py)
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- [下载Jupyter notebook: bars3d.ipynb](https://matplotlib.org/_downloads/bars3d.ipynb) |