matplotlib生成三维点云包围盒

运行环境： win10、 python3.5.2、 matplotlib 评价：消耗时间较长

  效果展示：   运行上面包围盒消耗的时间：单位（秒/s）     代码：  

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from itertools import product, combinations

import time
import math

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.set_aspect("equal")


start = time.time()
# draw cube
r = [-1, 1]
for s, e in combinations(np.array(list(product(r, r, r))), 2):
    if np.sum(np.abs(s-e)) == r[1]-r[0]:
        ax.plot3D(*zip(s, e), color="b")

print('spend_time:', time.time() - start)

# draw sphere
#u, v = np.mgrid[0:2*np.pi:20j, 0:np.pi:10j]
#x = np.cos(u)*np.sin(v)
#y = np.sin(u)*np.sin(v)
#z = np.cos(v)
#ax.plot_wireframe(x, y, z, color="r")

# draw a point
#ax.scatter([0], [0], [0], color="g", s=100)

# draw a vector
#from matplotlib.patches import FancyArrowPatch
#from mpl_toolkits.mplot3d import proj3d


# class Arrow3D(FancyArrowPatch):

    # def __init__(self, xs, ys, zs, *args, **kwargs):
        # FancyArrowPatch.__init__(self, (0, 0), (0, 0), *args, **kwargs)
        # self._verts3d = xs, ys, zs

    # def draw(self, renderer):
        # xs3d, ys3d, zs3d = self._verts3d
        # xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, renderer.M)
        # self.set_positions((xs[0], ys[0]), (xs[1], ys[1]))
        # FancyArrowPatch.draw(self, renderer)

# a = Arrow3D([0, 1], [0, 1], [0, 1], mutation_scale=20,
           # lw=1, arrowstyle="-|>", color="k")
# ax.add_artist(a)

plt.show()