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  • dcherian · 2 ✖

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  • stack casts int32 dtype coordinate to int64 · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1302258508 https://github.com/pydata/xarray/issues/7250#issuecomment-1302258508 https://api.github.com/repos/pydata/xarray/issues/7250 IC_kwDOAMm_X85NnuNM dcherian 2448579 2022-11-03T15:10:46Z 2022-11-03T15:10:46Z MEMBER

Ah very good find! Thanks.

maybe this can be fixed, or at least made more consistent. I think .values is pulling out of the pandas index (so is promoted) while we do actually have an underlying int32 array.

``` python

ds.stack(b=('a',))['a'].dtype #== ds.stack(b=('a',))['a'].values.dtype dtype('int32')

ds.stack(b=('a',))['a'].values.dtype dtype('int64') ```

cc @benbovy 

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   stack casts int32 dtype coordinate to int64 1433998942
1302239394 https://github.com/pydata/xarray/issues/7250#issuecomment-1302239394 https://api.github.com/repos/pydata/xarray/issues/7250 IC_kwDOAMm_X85Nnpii dcherian 2448579 2022-11-03T14:57:16Z 2022-11-03T14:57:34Z MEMBER

Unfortunately this is a pandas thing, so we can't fix it. Pandas only provides Int64Index so everything gets cast to that. Fixing that is on the roadmap for pandas 2.0 I think (See https://github.com/pandas-dev/pandas/pull/44819#issuecomment-999790361)

 
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   stack casts int32 dtype coordinate to int64 1433998942

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