issues: 783630055

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
783630055 MDU6SXNzdWU3ODM2MzAwNTU= 4793 More advanced tutorial on how to manipulate facetgrid 8453445 open 0     3 2021-01-11T19:17:12Z 2021-01-11T22:37:16Z   CONTRIBUTOR      

Is your feature request related to a problem? Please describe. I have explored a bit the object returned by faceting a plot (usually identified like p in the tutorial). It clearly stores tons of stuff that can be manipulated and make the plots more flexible.

I have an example here which I was planning to add somewhere to the tutorial for plotting.

Would this be of interest? or not since it makes use of i.e. matplotlib methods?

This issue is also intended to call for people that might have been playing with obscure attributes/method/whatever stored in p and have come out with some interesting manipulation. xarray faceting is very powerful, imho, and it is a great starting point for more complicated figures.

For example, in my notebook linked above, I add some axes to the side of the facetgrid to add a meridional average, and it used to take me a second to match the location of the added axes to the location of the axes in the faceted plot. But I figured that: for oa in p.axes.flat: print(oa.get_position().bounds) gets me the position.

I am sure tons of people have come up with similar stuff - so it would be amazing to put it all together in one spot!

Describe the solution you'd like If there is interest, I will open a PR with an example on how to manipulate faceted plots.

 
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