issue_comments: 1199868439

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https://github.com/pydata/xarray/issues/6849#issuecomment-1199868439 https://api.github.com/repos/pydata/xarray/issues/6849 1199868439 IC_kwDOAMm_X85HhIoX 4160723 2022-07-29T19:13:20Z 2022-07-29T19:13:20Z MEMBER

Hmm I'd rather expect that in most cases max. 2-3 (meta-)indexes are set, each from possibly a larger number of coordinates (e.g., 2-d staggered grid), but I could be wrong.

One exception could be setting (many) PandasIndex instances, one for each 1-d non-dimension coordinate of a Dataset. Maybe we could adapt .set_index() to support that case? Or later add a convenient method that "extends" default indexes to all 1-d coordinates if it turns out to be useful in many cases?

Another example would be to replace all default (pandas) indexes by Pint indexes. I guess that a convenient method accessible via the pint accessor would do the job well in that case?

 
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