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,

#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 use Axes.get_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

ax1.get_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.