matplotlib: ylabel on the secondary y-axis with manual tick placing
I want to have a y-label on the secondary y-axis in matplotlib. I'm aware, that twinx() almost does the trick like so: ax2 = twinx(ax1) ax2.set_ylabel('some thing') However, my ax1 has a non-standard tick placing and the duplicate ax2 does not copy that property, so that I would have to explicitly adjust the ticks again. Is there a better way to do this?
Although I haven't found, how to label both axes on a single subplot, I found a solution for an axes matrix: fig, axs = subplots(2, 2, sharex=True, sharey=True) axs[0, 0].set_ylabel('on the left by default') axs[0, 1].yaxis.set_label_position('right') axs[0, 1].set_ylabel('...now on the right y-axis') Hope this helps other people, too.
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