关于python:matplotlib plot_surface命令的颜色栏

Colorbar for matplotlib plot_surface command

我已经在Paul的帮助下为我的应用程序修改了mplot3d示例代码。代码显示为:

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from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

u = np.linspace(0, 2 * np.pi, 100)
v = np.linspace(0, np.pi, 100)

x = 10 * np.outer(np.cos(u), np.sin(v))
y = 10 * np.outer(np.sin(u), np.sin(v))
z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
z1 = z * np.cos(0.5*x)

N = z1 / z1.max()  # normalize 0..1
surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=cm.jet(N), linewidth=0, antialiased=False, shade=False)

fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()

enter

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Traceback (most recent call last):
  File"<ipython console>", line 1, in <module>
  File"C:\\Python26\\lib\\site-packages\\spyderlib\\widgets\\externalshell\\startup.py", line 122, in runfile
    execfile(filename, glbs)
 File"C:\\Documents and Settings\\mramacha\\My Documents\\Python\\Candela\\test.py", line 22, in <module>
    fig.colorbar(surf, shrink=0.5, aspect=5)
  File"C:\\Python26\\lib\\site-packages\\matplotlib\\figure.py", line 1104, in colorbar
    cb = cbar.Colorbar(cax, mappable, **kw)
  File"C:\\Python26\\lib\\site-packages\\matplotlib\\colorbar.py", line 706, in __init__
    mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
  File"C:\\Python26\\lib\\site-packages\\matplotlib\\cm.py", line 261, in autoscale_None
    raise TypeError('You must first set_array for mappable')
TypeError: You must first set_array for mappable

如果有人能够指导我,我将非常感激。

Prabhu


由于未映射表面数组,因此可以使用代理可映射对象。 mappable只是将任何数组的值转换为由颜色图定义的RGB颜色。

您要使用z1数组进行此操作:

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import matplotlib.cm as cm
m = cm.ScalarMappable(cmap=cm.jet)
m.set_array(z1)
plt.colorbar(m)