在python-matplotlib中绘制3D多边形 [英] Plotting 3D Polygons in python-matplotlib

问题描述

对于以下简单问题的解决方案，我浏览网页失败:

I was unsuccessful browsing web for a solution for the following simple question:

如何使用顶点值绘制3D多边形(例如，填充的矩形或三角形)? 我尝试了很多想法，但都失败了，请参阅:

How to draw 3D polygon (say a filled rectangle or triangle) using vertices values? I have tried many ideas but all failed, see:

from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import PolyCollection
import matplotlib.pyplot as plt
fig = plt.figure()
ax = Axes3D(fig)
x = [0,1,1,0]
y = [0,0,1,1]
z = [0,1,0,1]
verts = [zip(x, y,z)]
ax.add_collection3d(PolyCollection(verts),zs=z)
plt.show()

我先感谢您的任何想法/意见.

I appreciate in advance any idea/comment.

根据接受的答案进行更新:

import mpl_toolkits.mplot3d as a3
import matplotlib.colors as colors
import pylab as pl
import scipy as sp

ax = a3.Axes3D(pl.figure())
for i in range(10000):
    vtx = sp.rand(3,3)
    tri = a3.art3d.Poly3DCollection([vtx])
    tri.set_color(colors.rgb2hex(sp.rand(3)))
    tri.set_edgecolor('k')
    ax.add_collection3d(tri)
pl.show()

结果如下:

推荐答案

我认为您已经掌握了.这就是你想要的吗?

I think you've almost got it. Is this what you want?

from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import matplotlib.pyplot as plt
fig = plt.figure()
ax = Axes3D(fig)
x = [0,1,1,0]
y = [0,0,1,1]
z = [0,1,0,1]
verts = [list(zip(x,y,z))]
ax.add_collection3d(Poly3DCollection(verts))
plt.show()

您可能也对art3d.pathpatch_2d_to_3d感兴趣.

You might also be interested in art3d.pathpatch_2d_to_3d.

这篇关于在python-matplotlib中绘制3D多边形的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！