在python-matplotlib中绘制3D多边形。

时间:2022-05-07 05:43:43

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

我在浏览网页时没有找到一个简单的问题:


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

如何使用顶点值绘制3D多边形(比如填充矩形或三角形)?我尝试了很多想法,但都失败了。

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()

I appreciate in advance any idea/comment.

我很感激你的任何意见。

Updates based on the accepted answer:

基于已接受答案的更新:

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()

Here is the result: 在python-matplotlib中绘制3D多边形。

这里是结果:

2 个解决方案

#1


45  

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

我想你已经差不多明白了。这是你想要的吗?

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 = [zip(x, y,z)]
ax.add_collection3d(Poly3DCollection(verts))
plt.show()

在python-matplotlib中绘制3D多边形。 You might also be interested in art3d.pathpatch_2d_to_3d.

您可能还对art3 .pathpatch_2d_to_3d感兴趣。

#2


1  

The above solution is for Python 2, and gives an error 'TypeError: object of type 'zip' has no len()' when run with python 3.

上面的解决方案是针对Python 2的,并给出了一个错误的“TypeError:类型‘zip’的对象在运行Python 3时没有len()”。

See Plotting 3D Polygons in Python 3 for discussion on updating this to Python 3.

请参阅Python 3中的绘制3D多边形,以便讨论将其更新到Python 3。

Here's some working code from there:

下面是一些工作代码:

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))]
print(verts)
ax.add_collection3d(Poly3DCollection(verts), zs='z')
plt.show()

#1


45  

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

我想你已经差不多明白了。这是你想要的吗?

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 = [zip(x, y,z)]
ax.add_collection3d(Poly3DCollection(verts))
plt.show()

在python-matplotlib中绘制3D多边形。 You might also be interested in art3d.pathpatch_2d_to_3d.

您可能还对art3 .pathpatch_2d_to_3d感兴趣。

#2


1  

The above solution is for Python 2, and gives an error 'TypeError: object of type 'zip' has no len()' when run with python 3.

上面的解决方案是针对Python 2的,并给出了一个错误的“TypeError:类型‘zip’的对象在运行Python 3时没有len()”。

See Plotting 3D Polygons in Python 3 for discussion on updating this to Python 3.

请参阅Python 3中的绘制3D多边形,以便讨论将其更新到Python 3。

Here's some working code from there:

下面是一些工作代码:

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))]
print(verts)
ax.add_collection3d(Poly3DCollection(verts), zs='z')
plt.show()