matplotlib & pandas

Python/matplotlab/gallery/mplot3d/hist3d.md

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+# 创建2D数据的3D直方图
+
+将二维数据的直方图演示为3D中的条形图。
+
+![创建2D数据的3D直方图示例](https://matplotlib.org/_images/sphx_glr_hist3d_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')
+x, y = np.random.rand(2, 100) * 4
+hist, xedges, yedges = np.histogram2d(x, y, bins=4, range=[[0, 4], [0, 4]])
+
+# Construct arrays for the anchor positions of the 16 bars.
+xpos, ypos = np.meshgrid(xedges[:-1] + 0.25, yedges[:-1] + 0.25, indexing="ij")
+xpos = xpos.ravel()
+ypos = ypos.ravel()
+zpos = 0
+
+# Construct arrays with the dimensions for the 16 bars.
+dx = dy = 0.5 * np.ones_like(zpos)
+dz = hist.ravel()
+
+ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: hist3d.py](https://matplotlib.org/_downloads/hist3d.py)
+- [下载Jupyter notebook: hist3d.ipynb](https://matplotlib.org/_downloads/hist3d.ipynb)