issues: 1471561942

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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
1471561942 I_kwDOAMm_X85XtkDW 7342 `xr.DataArray.plot.pcolormesh(robust="col/row")` 12237157 closed 0     3 2022-12-01T16:01:27Z 2022-12-12T12:17:45Z 2022-12-12T12:17:45Z CONTRIBUTOR      

Is your feature request related to a problem?

I often want to get a quick view from multi-dimensional data from an xr.Dataset with multiple variables at once in a one-liner. I really like the robust=True feature and think it could also allow "col" and "row" to be robust only across columns or rows.

Describe the solution you'd like

python ds = xr.tutorial.load_dataset("eraint_uvz") ds.mean("month").to_array().plot(col="level", row="variable", robust="row") What I get and do not like because it apply robust either to all data or nothing:

What I would like to see, see below in alternative what I always do

Describe alternatives you've considered

python ds = xr.tutorial.load_dataset("eraint_uvz") for v in ds.data_vars: ds[v].mean("month").plot(col="level", robust=True) plt.show()

Additional context

No response

 
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