如何在pyplot(matplotlib)的同一图上添加两个颜色条? [英] How do I add two colorbars on the same plot in pyplot (matplotlib)?

问题描述

我想绘制一个子图，如:

I would like to plot one subplot like:

Title 1
Fig1    Fig2    Fig3 

为这3个数字(1、2、3)提供了一个通用的颜色条.

With a common colorbar for these 3 figures (1,2,3).

Title2
Fig4    Fig5    Fig6

为这3个数字(4、5、6)提供了一个通用的颜色条.

With a common colorbar for these 3 figures (4,5,6).

如上所述，我还没有找到在同一张图上添加两个不同颜色条的方法.

I haven't found a way to add two different colorbars on the same figure as described above.

推荐答案

这有些棘手，但是您可以使用通用的颜色栏共享多组子图.

It's a bit tricky, but you can share sets of subplots with a common colorbar.

我已经借鉴了一些以前可能值得一读的答案:

I've drawn on a few previous anwers that might be worth reading as well:

Matplotlib 2个子图，1个颜色条

如何我可以为python中的一系列绘图创建标准颜色条吗?

当然，对于matplotlib，文档:

And of course, the documentation for matplotlib:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid

# Generate some random data
data_top = np.random.random((3,10,10)) * 5
data_bot = np.random.random((3,20,20)) * 10

fig  = plt.figure()

grid_top = ImageGrid(fig, 211, nrows_ncols = (1, 3),
                     cbar_location = "right",                     
                     cbar_mode="single",
                     cbar_pad=.2) 
grid_bot = ImageGrid(fig, 212, nrows_ncols = (1, 3),
                     cbar_location = "right",                     
                     cbar_mode="single",
                     cbar_pad=.2) 

for n in xrange(3):
    im1 = grid_top[n].imshow(data_top[n], 
                            interpolation='nearest', vmin=0, vmax=5)

    im2 = grid_bot[n].imshow(data_bot[n], cmap=plt.get_cmap('bone'), 
                             interpolation='nearest', vmin=0, vmax=10)


grid_top.cbar_axes[0].colorbar(im1)
grid_bot.cbar_axes[0].colorbar(im2)

plt.show()

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