python plt 如何画不同的数据图

参考网址：

https://matplotlib.org/examples/pylab_examples/subplots_demo.html

https://stackoverflow.com/questions/24793241/2-subplots-sharing-y-axis-no-space-between-with-single-color-bar

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sharing y axis

import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

#Random data
data = numpy.random.random((10, 10))

fig = plt.figure()

ax1 = fig.add_subplot(1,2,1, aspect = "equal")
ax2 = fig.add_subplot(1,2,2, aspect = "equal", sharey = ax1)  #Share y-axes with subplot 1

#Set y-ticks of subplot 2 invisible
plt.setp(ax2.get_yticklabels(), visible=False)

#Plot data
im1 = ax1.pcolormesh(data)
im2 = ax2.pcolormesh(data)

#Define locations of colorbars for both subplot 1 and 2
divider1 = make_axes_locatable(ax1)
cax1 = divider1.append_axes("right", size="5%", pad=0.05)

divider2 = make_axes_locatable(ax2)
cax2 = divider2.append_axes("right", size="5%", pad=0.05)

#Create and remove the colorbar for the first subplot
cbar1 = fig.colorbar(im1, cax = cax1)
fig.delaxes(fig.axes[2])

#Create second colorbar
cbar2 = fig.colorbar(im2, cax = cax2)

#Adjust the widths between the subplots
plt.subplots_adjust(wspace = -.059)

plt.show()