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41 lines
1.2 KiB
Markdown
41 lines
1.2 KiB
Markdown
# 创建2D数据的3D直方图
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将二维数据的直方图演示为3D中的条形图。
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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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x, y = np.random.rand(2, 100) * 4
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hist, xedges, yedges = np.histogram2d(x, y, bins=4, range=[[0, 4], [0, 4]])
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# Construct arrays for the anchor positions of the 16 bars.
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xpos, ypos = np.meshgrid(xedges[:-1] + 0.25, yedges[:-1] + 0.25, indexing="ij")
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xpos = xpos.ravel()
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ypos = ypos.ravel()
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zpos = 0
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# Construct arrays with the dimensions for the 16 bars.
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dx = dy = 0.5 * np.ones_like(zpos)
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dz = hist.ravel()
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ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')
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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: hist3d.py](https://matplotlib.org/_downloads/hist3d.py)
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- [下载Jupyter notebook: hist3d.ipynb](https://matplotlib.org/_downloads/hist3d.ipynb) |