python⼦图坐标轴共⽤_如何在matplotlib中的⼦图之间共享次
要y轴
If you have multiple subplots containing a secondary y-axis (created using twinx), how can you share these secondary y-axis between the subplots? I want them to scale equally in an automatic way (so not setting the y-limits afterwards by hand).
For the primary y-axis, this is possible by using the keyword sharey in the call of subplot.
Below example shows my attempt, but it fails to share the secondary y-axis of both subplots. I'm using Matplotlib/Pylab:
ax = []
#create upper subplot
ax.append(subplot(211))
plot(rand(1) * rand(10),'r')
#create plot on secondary y-axis of upper subplot
ax.append(ax[0].twinx())
plot(10*rand(1) * rand(10),'b')
#create lower subplot and share y-axis with primary y-axis of upper subplot
ax.append(subplot(212, sharey = ax[0]))
plot(3*rand(1) * rand(10),'g')
#create plot on secondary y-axis of lower subplot
ax.append(ax[2].twinx())
#set twinxed axes as the current axes again,matplotlib中subplot
#but now attempt to share the secondary y-axis
axes(ax[3], sharey = ax[1])
plot(10*rand(1) * rand(10),'y')
This gets me something like:
The reason I used the axes() function to set the shared y-axis is that twinx doesn't accept the sharey keyword.
I'am using Python 3.2 on Win7 x64. Matplotlib version is 1.2.0rc2.
解决⽅案
You can _shared_y_axes() like so:
from numpy.random import rand
import matplotlib
matplotlib.use('gtkagg')
import matplotlib.pyplot as plt
# create all axes we need
ax0 = plt.subplot(211)
ax1 = ax0.twinx()
ax2 = plt.subplot(212)
ax3 = ax2.twinx()
# share the secondary axes
<_shared_y_axes().join(ax1, ax3)
ax0.plot(rand(1) * rand(10),'r')
ax1.plot(10*rand(1) * rand(10),'b')
ax2.plot(3*rand(1) * rand(10),'g')
ax3.plot(10*rand(1) * rand(10),'y')
plt.show()
Here we're just joining the secondary axes together. Hope that helps.

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