尝试在对 的调用中使用 ：
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
z = np.array([0,1,2,3,4,5,6,7,8,9,10])
radius = np.array([0,1,1.5,1,0,2,4,5,4,2,1])
temp = np.array([150,200,210,220,225,220,195,185,160,150,140])
angle = np.linspace(0,2*np.pi,20)
Z,ANG = np.meshgrid(z,angle)
T,ANG = np.meshgrid(temp,angle)
# transform them to cartesian system
X,Y = radius*np.cos(ANG),radius*np.sin(ANG)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, facecolors=cm.jet(T/float(T.max())))
plt.show()
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