If you have multiple subplots containing a secondary y-axis (created using twinx), how can you share these secondary y-axes between the subplots? I want them to scale equally in an automatic way (so not set 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: 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. Continue reading...
