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I'm having trouble getting seaborn's relplot function to plot with different y axes on each row (while sharing x axes per column).
I can see that both the FacetGrid and catplot methods in seaborn have a sharex/sharey keyword argument that would solve my problem, but I can't find a similar one in relplot.
Is there some way I can work around this if it's intended by accessing the subplots returned by relplot individually? I would like to continue using relplot as it handles figure sizing perfectly while FacetGrid has a lot of issues in that area. Thanks.
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To remove X or Y labels from a Seaborn heatmap, we can use yticklabel=False.
col_wrapint. “Wrap” the column variable at this width, so that the column facets span multiple rows. Incompatible with a row facet. share{x,y}bool, 'col', or 'row' optional. If true, the facets will share y axes across columns and/or x axes across rows.
The Seaborn Relational Plot (relplot) allows us to visualise how variables within a dataset relate to each other. Data visualisation is an essential part of any data analysis or machine learning workflow. It allows to gain insights about our data.
This can be done by passing a dictionary with FacetGrid keyword arguments to relplot, like this:
facet_kws={'sharey': False, 'sharex': True}
(See seaborn.relplot documentation.)
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