The other answer has code for dealing with a list of axes: axes.get_shared_x_axes(). The sharedyaxes argument to makesubplots can be used to link the y axes of subplots in the resulting figure. This is not possible any more with matplotlib 2.2. The question is I don't want to share y-axis for the first row of the subplot. Considering my subplot has two rows and five columns, I just want to share x and y axis for the second row, and share the x axis for the first row.
Im matplotlib 2.0.2 this was easily possible by turning them visible again. Since I choose sharex'col' and sharey'row', all plots in the subplots share their x and y axis through columns and rows. However, in many cases you may still want/need to show them. # ax2.autoscale() # call autoscale if needed When sharing the axes through plt.subplots(2, sharexTrue) the ticklabels on the upper axes are rightfully suppressed. In contrast to the sharing at creation time, you will have to set the xticklabels off manually for one of the axes (in case that is wanted). When creating subplots in Matplotlib, we can make the subplots share the same x axis or y axis by passing sharexTrue or shareyTrue to the plt.subplots(). Using ax1.get_shared_x_axes().join(ax1, ax2)Ĭreates a link between the two axes, ax1 and ax2.
However if for any reason, you need to share axes after they have been created (actually, using a different library which creates some subplots, like here might be a reason), there would still be a solution: Sharing the axes after they have been created should therefore not be necessary. Or fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True) The usual way to share axes is to create the shared properties at creation. Creating a subplot will delete any pre-existing subplot that overlaps with it beyond sharing a boundary: import matplotlib.pyplot as plt plot a line, implicitly creating a subplot (111) plt.plot( 1,2,3) now create a subplot which represents the top plot of a grid with 2 rows and 1 column.
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