html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/4061#issuecomment-1456441488,https://api.github.com/repos/pydata/xarray/issues/4061,1456441488,IC_kwDOAMm_X85Wz4iQ,31730876,2023-03-06T16:20:20Z,2023-03-06T16:20:20Z,NONE,"I’m not sure that’s a solution if we argue that xarray should do what matplotlib does with the same keywords.

I can test if this “works” and will report back but it’s still not a fix.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,618141254
https://github.com/pydata/xarray/issues/4061#issuecomment-629689922,https://api.github.com/repos/pydata/xarray/issues/4061,629689922,MDEyOklzc3VlQ29tbWVudDYyOTY4OTkyMg==,31730876,2020-05-16T18:44:55Z,2020-05-16T18:44:55Z,NONE,"Neither of those solutions seem to work for diverging colormaps where the data extends outside the range, i.e. the < and > data ends up with no colour.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,618141254
https://github.com/pydata/xarray/issues/4061#issuecomment-628619788,https://api.github.com/repos/pydata/xarray/issues/4061,628619788,MDEyOklzc3VlQ29tbWVudDYyODYxOTc4OA==,31730876,2020-05-14T13:03:12Z,2020-05-14T13:03:12Z,NONE,"It might be useful to note here that my solution for now was just to pass the arrays directly to pcolormesh rather than going through the xarray plot interface.

i.e. I changed from

`img = ds['var'].plot(ax=ax, cmap=cmap, norm=norm)`
to
`img = ax.pcolormesh(ds.x.values, ds.y.values, ds.tas.values, cmap=cmap, norm=norm)`



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