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48 lines
1.3 KiB
Markdown
48 lines
1.3 KiB
Markdown
# 3D散点图
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演示3D中的基本散点图。
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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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def randrange(n, vmin, vmax):
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'''
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Helper function to make an array of random numbers having shape (n, )
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with each number distributed Uniform(vmin, vmax).
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'''
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return (vmax - vmin)*np.random.rand(n) + vmin
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fig = plt.figure()
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ax = fig.add_subplot(111, projection='3d')
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n = 100
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# For each set of style and range settings, plot n random points in the box
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# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
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for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
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xs = randrange(n, 23, 32)
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ys = randrange(n, 0, 100)
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zs = randrange(n, zlow, zhigh)
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ax.scatter(xs, ys, zs, c=c, marker=m)
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ax.set_xlabel('X Label')
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ax.set_ylabel('Y Label')
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ax.set_zlabel('Z Label')
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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: scatter3d.py](https://matplotlib.org/_downloads/scatter3d.py)
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- [下载Jupyter notebook: scatter3d.ipynb](https://matplotlib.org/_downloads/scatter3d.ipynb) |