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  • maarten-vandenberg · 2 ✖

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  • Assigning with .loc indexing: implicit effect of dimension order? · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1463502178 https://github.com/pydata/xarray/issues/7030#issuecomment-1463502178 https://api.github.com/repos/pydata/xarray/issues/7030 IC_kwDOAMm_X85XO0Vi maarten-vandenberg 24587365 2023-03-10T09:14:37Z 2023-03-10T09:14:37Z NONE

I'd be happy to open a pull request, although I must admit I'm not very familiar with the internals of xarray. I hope it will help to clarify the issue and bring a potential solution closer

 
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   Assigning with .loc indexing: implicit effect of dimension order? 1371769156
1459925203 https://github.com/pydata/xarray/issues/7030#issuecomment-1459925203 https://api.github.com/repos/pydata/xarray/issues/7030 IC_kwDOAMm_X85XBLDT maarten-vandenberg 24587365 2023-03-08T10:07:05Z 2023-03-08T10:07:33Z NONE

We are experiencing the same issue (with xarray version 2022.3.0). After a bit of exploring it seems that in the Variable __setitem__ method, dimensions of the value get switched around. This leads to the behaviour observed in the examples above.

 
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   Assigning with .loc indexing: implicit effect of dimension order? 1371769156

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