issue_comments: 1444208978

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https://github.com/pydata/xarray/issues/7559#issuecomment-1444208978 https://api.github.com/repos/pydata/xarray/issues/7559 1444208978 IC_kwDOAMm_X85WFOFS 2448579 2023-02-24T18:27:18Z 2023-02-25T03:46:49Z MEMBER

is there anywhere else in xarray where we have made some choice about how to let the user choose between specifying via indexes or labels?

coarsen vs groupby/groupby_bins/resample.

I explored this idea in this tutorial

I think it may be a fundamental concept for labelled array analysis. You need to pick whether you're working in "index space" like unlabelled arrays, or in "label space". This also came up in this issue where shift (and roll) operate in "index space".

Another example: Alignment is in "label space", broadcasting seems like "index space" (you just change shapes, but it does use dimension names to do that so maybe 50/50).

 
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