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

问题描述

如何使用顶点值绘制 3D 多边形(比如实心矩形或三角形)?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()

我预先感谢任何想法/评论.

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 numpy as np

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

结果如下:

推荐答案

我想你已经快明白了.这是你想要的吗?

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, auto_add_to_figure=False)
fig.add_axes(ax)
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()

您可能还对 art3d.pathpatch_2d_to_3d 感兴趣.

You might also be interested in art3d.pathpatch_2d_to_3d.

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