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notes_estom/Python/matplotlab/gallery/mplot3d/contour3d_3.md
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# 将轮廓轮廓投影到图形上
演示显示3D表面同时还将轮廓“轮廓”投影到图形的“墙壁”上。
有关填充版本请参见contourf3d_demo2。
![将轮廓轮廓投影到图形上](https://matplotlib.org/_images/sphx_glr_contour3d_3_001.png)
```python
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm
fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
# Plot the 3D surface
ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
# Plot projections of the contours for each dimension. By choosing offsets
# that match the appropriate axes limits, the projected contours will sit on
# the 'walls' of the graph
cset = ax.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
cset = ax.contour(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
ax.set_xlim(-40, 40)
ax.set_ylim(-40, 40)
ax.set_zlim(-100, 100)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.show()
```
## 下载这个示例
- [下载python源码: contour3d_3.py](https://matplotlib.org/_downloads/contour3d_3.py)
- [下载Jupyter notebook: contour3d_3.ipynb](https://matplotlib.org/_downloads/contour3d_3.ipynb)