如何在Python中可视化3D delaunay三角剖分? [英] How to visualize 3D delaunay triangulation in Python?

问题描述

我有一组3D点，我已使用scipy.spatial.Delaunay进行了三角剖分/四面体化.我现在拥有一组所有四面体的独特面孔，并希望将其以3D形式可视化.

I have a set of 3D points which I've used scipy.spatial.Delaunay to do the triangulation / tetrahedralization. I now have a set of unique faces of all of the tetrahedra, and would like to visualize these in 3D.

是否有任何Python库(或带有Python包装器的库)可以做到这一点?

Are there any Python libraries (or libraries with a Python wrapper) that can do this?

推荐答案

尝试mayavi.mlab.triangular_mesh()

import numpy as np
from mayavi import mlab
vertices = np.array([[0, 1, 0, 0],[0, 0, 1, 0],[0, 0, 0, 1]])
faces = np.array([[0, 1, 0, 0],[1, 2, 1, 2],[2, 3, 3, 3]])
mlab.triangular_mesh(vertices[0,:], vertices[1,:], vertices[2,:], faces.T)
mlab.show()

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