卷卷萌 2019-07-15
OS:Ubuntu 18.04 LTS
Python 3.6
我在浏览网页时未能找到以下简单问题的解决方案:
如何使用顶点值绘制3D多边形(比如填充的矩形或三角形)? 我尝试过很多想法,但都失败了,请看:
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()
上面的解决方案适用于Python 2,在使用python 3运行时出现错误TypeError: object of type 'zip' has no len()。
根据接受的答案更新:
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:
我想你差不多了。 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 = [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。