matplotlib & pandas

Python/matplotlab/gallery/mplot3d/scatter3d.md

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+# 3D散点图
+
+演示3D中的基本散点图。
+
+![3D散点图示例](https://matplotlib.org/_images/sphx_glr_scatter3d_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)
+
+
+def randrange(n, vmin, vmax):
+    '''
+    Helper function to make an array of random numbers having shape (n, )
+    with each number distributed Uniform(vmin, vmax).
+    '''
+    return (vmax - vmin)*np.random.rand(n) + vmin
+
+fig = plt.figure()
+ax = fig.add_subplot(111, projection='3d')
+
+n = 100
+
+# For each set of style and range settings, plot n random points in the box
+# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
+for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
+    xs = randrange(n, 23, 32)
+    ys = randrange(n, 0, 100)
+    zs = randrange(n, zlow, zhigh)
+    ax.scatter(xs, ys, zs, c=c, marker=m)
+
+ax.set_xlabel('X Label')
+ax.set_ylabel('Y Label')
+ax.set_zlabel('Z Label')
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: scatter3d.py](https://matplotlib.org/_downloads/scatter3d.py)
+- [下载Jupyter notebook: scatter3d.ipynb](https://matplotlib.org/_downloads/scatter3d.ipynb)