This is a minimal example and for the sake of conciseness, I refrained from mixing matplotlib and searborn. To later turn other subplots' ticklabels on, use tickparams. Similarly, when subplots have a shared y-axis along a row, only the y tick labels of the first column subplot are created. Set X-axis tick labels of the grid, with empty list, using setxticklabels method. When subplots have a shared x-axis along a column, only the x tick labels of the bottom subplot are created.

Using getsharedxaxes ().join (ax1, ax2), return a reference to the shared axes Grouper object for axes. Changing the axis limits on one axes will be reflected automatically in the other, and vice-versa, so when you navigate with the toolbar the Axes will follow each other on their shared axis. Plot x and y using points that are created in step 1. Y = įig, axs = plt.subplots(1, 3, figsize=(20, 8))Īxs.set_ylim( axs.get_ylim() ) # align axesĪxs.set_yticks() # set ticks to be empty (no ticks, no tick-labels) You can share the x- or y-axis limits for one axis with another by passing an Axes instance as a sharex or sharey keyword argument.

Here is what I mean: from matplotlib import pyplot as plt The sharedyaxes argument to makesubplots can be used to link the y axes of subplots in the resulting figure. I would set the limits of all y-axes to the same range, set the ticks in all axes and than set the ticks/tick-labels of all but the most left axis to be empty. 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().

Matplotlib subplot share y