我对使用对数颜色缩放的等高线图有问题。我想手动指定级别。然而，Matplotlib以一种奇怪的方式绘制颜色条——标签放置得不好，只有一种颜色出现。这个想法是基于

http://adversus.110mb.com/?cat=8

有谁能帮我吗？

我使用最新的git存储库matplotlib版本v1.1.0(2011-04-21)import matplotlib.pyplot as plt

import numpy as np

from matplotlib.mlab import bivariate_normal

from matplotlib.colors import LogNorm

from matplotlib.backends.backend_pdf import PdfPages

delta = 0.5

x = np.arange(-3.0, 4.001, delta)

y = np.arange(-4.0, 3.001, delta)

X, Y = np.meshgrid(x, y)

Z = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)

fig = plt.figure()

ax = fig.add_subplot(1,1,1)

#axim = ax.imshow(Z, norm = LogNorm())

axim = ax.contourf(X,Y,Z,levels=[1e0,1e-1,1e-2,1e-3],cmap=plt.cm.jet,norm = LogNorm())

cb = fig.colorbar(axim)

pp = PdfPages('fig.pdf')

pp.savefig()

pp.close()

plt.show()

非常感谢你的帮助！它工作得很好，正如你所建议的。。。

但是，我还有一个问题：为什么matplotlib不允许我在对数模式下选择层数：import matplotlib.pyplot as plt

import numpy as np

from matplotlib.mlab import bivariate_normal

from matplotlib.colors import LogNorm

from matplotlib.backends.backend_pdf import PdfPages

delta = 0.5

x = np.arange(-3.0, 4.001, delta)

y = np.arange(-4.0, 3.001, delta)

X, Y = np.meshgrid(x, y)

Z = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)

fig = plt.figure()

ax = fig.add_subplot(1,1,1)

#axim = ax.imshow(Z, norm = LogNorm())

#axim = ax.contourf(X,Y,Z,levels=[1e-3,1e-2,1e-1,1e0],cmap=plt.cm.jet,norm = LogNorm())

axim = ax.contourf(X,Y,Z,20,cmap=plt.cm.jet,norm = LogNorm())

cb = fig.colorbar(axim)

pp = PdfPages('fig.pdf')

pp.savefig()

pp.close()

plt.show()

这是我最初的问题。。。