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  • Fix issue tuple as dimension · 3 ✖

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  • COLLABORATOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1323755762 https://github.com/pydata/xarray/pull/5477#issuecomment-1323755762 https://api.github.com/repos/pydata/xarray/issues/5477 IC_kwDOAMm_X85O5ujy headtr1ck 43316012 2022-11-22T14:22:33Z 2022-11-22T14:22:33Z COLLABORATOR

Yes exactly, that would be the intended way of working with dimensions/variables that are iterablea themself, like tuples.

 
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   Fix issue tuple as dimension 922926807
1323694111 https://github.com/pydata/xarray/pull/5477#issuecomment-1323694111 https://api.github.com/repos/pydata/xarray/issues/5477 IC_kwDOAMm_X85O5fgf headtr1ck 43316012 2022-11-22T13:39:11Z 2022-11-22T13:39:11Z COLLABORATOR

So we'd keep str | Iterable[Hashable], and still raise an error if a tuple was passed directly (i.e. method(dim=('a','b'))

I would say that a tuple is fine, it IS an iterable of hashable ;)

 
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   Fix issue tuple as dimension 922926807
1322745490 https://github.com/pydata/xarray/pull/5477#issuecomment-1322745490 https://api.github.com/repos/pydata/xarray/issues/5477 IC_kwDOAMm_X85O136S headtr1ck 43316012 2022-11-21T22:37:09Z 2022-11-21T22:37:09Z COLLABORATOR

I think this should be also aligned with str | Iterable[Hashable], so maybe str | DataArray | Iterable[Hashable | DataArray]? And then reverse the isinstance checks (do not capture tuple and list explicitly, but str).

 
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   Fix issue tuple as dimension 922926807

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