Matplotlib曲面图显示不同值的相同颜色

问题描述 投票:2回答:2

为什么所有点都得到相同的值?我希望颜色随能量而变化。

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()

结果如下所示

Surface plot without desired colour mapping

python matplotlib plot surface colormap
2个回答
2
投票

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

在我的情况下,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)

enter image description here

大踏步走:

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

enter image description here


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

请注意cstriderstride参数。

Axes3D.plot_surface documentation

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