issue_comments: 1292692904

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https://github.com/pydata/xarray/issues/7227#issuecomment-1292692904 https://api.github.com/repos/pydata/xarray/issues/7227 1292692904 IC_kwDOAMm_X85NDO2o 43316012 2022-10-26T21:50:02Z 2022-10-26T21:50:02Z COLLABORATOR

I think this PEP is really more important for i.e. numpy. Something like array.sum(axis=1) is more error prone (1 instead of -1 or 2) than xarrays da.sum("time").

But yes, it is mainly for consumers.

Additionally, since xarray has its fancy broadcasting I am not sure that even with a working system we would get meaningful errors from static typecheckers. In numpy Array[Height] + Array[Width] would raise but in xarray this just works...

 
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