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  • xarray=1.15.1 regression: Groupby drop multi-index · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
650800165 https://github.com/pydata/xarray/issues/3985#issuecomment-650800165 https://api.github.com/repos/pydata/xarray/issues/3985 MDEyOklzc3VlQ29tbWVudDY1MDgwMDE2NQ== DancingQuanta 8419157 2020-06-28T17:53:49Z 2020-06-28T17:53:49Z NONE

Sorry for the late reply. I have been using this function in my projects and as such it is minimum functional. However, I will try to investigate a simpler example that replicate the issue.

Lastly, perhaps you have a better idea for groupby over multi-dimension without stacking the dimensions?

 
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   xarray=1.15.1 regression: Groupby drop multi-index 603309899
648916506 https://github.com/pydata/xarray/issues/3985#issuecomment-648916506 https://api.github.com/repos/pydata/xarray/issues/3985 MDEyOklzc3VlQ29tbWVudDY0ODkxNjUwNg== dcherian 2448579 2020-06-24T16:10:28Z 2020-06-24T16:10:28Z MEMBER

@DancingQuanta can you post a simplified example? There are many manipulations here so it is hard to figure out what changed.

 
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   xarray=1.15.1 regression: Groupby drop multi-index 603309899
633142323 https://github.com/pydata/xarray/issues/3985#issuecomment-633142323 https://api.github.com/repos/pydata/xarray/issues/3985 MDEyOklzc3VlQ29tbWVudDYzMzE0MjMyMw== mathause 10194086 2020-05-23T21:23:25Z 2020-05-23T21:23:25Z MEMBER

Could you simplify your example? I don't manage to wrap my head around it.

 
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   xarray=1.15.1 regression: Groupby drop multi-index 603309899
616650521 https://github.com/pydata/xarray/issues/3985#issuecomment-616650521 https://api.github.com/repos/pydata/xarray/issues/3985 MDEyOklzc3VlQ29tbWVudDYxNjY1MDUyMQ== DancingQuanta 8419157 2020-04-20T16:05:02Z 2020-04-20T16:05:02Z NONE

Using git bisect I am able to narrow down to this PR #3807 that introduced the regression.

 
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   xarray=1.15.1 regression: Groupby drop multi-index 603309899

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