Matplotlib 曲面图显示不同值的相同颜色

Matplotlib surface plot showing same color for different values

为什么所有的点都得到相同的值?我希望颜色随能量变化。

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm
from numpy import *

x = linspace(0.2, 2, 11)
y = linspace(0.1, 1, 11)
alpha, beta = meshgrid(x,y)
energy = matrix(loadtxt('energyPlotfileN6.txt'))

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.plot_surface(alpha, beta, energy, cmap='summer', vmin=energy.min(), vmax=energy.max())
plt.xlabel("alpha")
plt.ylabel("beta")
ax.set_zlabel("energy")
plt.show()

结果如下图

Surface plot without desired colour mapping

ax.plot_surface(alpha, beta, energy, cstride=1, rstride=1, cmap='summer', vmin=energy.min(), vmax=energy.max())

注意 cstriderstride 参数。

Axes3D.plot_surface documentation.

使用上面的答案(添加 cstriderstride 参数),但想添加差异的可视化...

在我的例子中,我正在绘制地形...

没有步伐:

surf = ax.plot_surface(topo['lon'], topo['lat'], topo['value'],
                       cmap='terrain', vmax=2800, vmin=1300,
                       linewidth=.1, antialiased=False)

大步走:

surf = ax.plot_surface(topo['lon'], topo['lat'], topo['value'],
                           cmap='terrain', vmax=2800, vmin=1300,
                           linewidth=.1, antialiased=False,
                           rstride=1, cstride=1)