How to share secondary y-axis between subplots in matplotlib

Question

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.

Answer 1

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.