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4 rows where author_association = "MEMBER" and issue = 132774456 sorted by updated_at descending
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 556078259 | https://github.com/pydata/xarray/issues/757#issuecomment-556078259 | https://api.github.com/repos/pydata/xarray/issues/757 | MDEyOklzc3VlQ29tbWVudDU1NjA3ODI1OQ== | dcherian 2448579 | 2019-11-20T16:12:40Z | 2019-11-20T16:12:40Z | MEMBER | I use |
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Ordered Groupby Keys 132774456 | |
| 182676967 | https://github.com/pydata/xarray/issues/757#issuecomment-182676967 | https://api.github.com/repos/pydata/xarray/issues/757 | MDEyOklzc3VlQ29tbWVudDE4MjY3Njk2Nw== | shoyer 1217238 | 2016-02-11T02:32:59Z | 2016-02-12T00:15:48Z | MEMBER | For what it's worth, I don't think we have any good solutions short of adding our own array type do to Categorical in xarray. We could set sort=False in some cases when we call pd.factorize but that's not a great alternative. |
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| 182671718 | https://github.com/pydata/xarray/issues/757#issuecomment-182671718 | https://api.github.com/repos/pydata/xarray/issues/757 | MDEyOklzc3VlQ29tbWVudDE4MjY3MTcxOA== | jhamman 2443309 | 2016-02-11T02:01:05Z | 2016-02-11T02:01:05Z | MEMBER | Hmmm, a mystery. I'll look into this a bit more. |
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| 182659762 | https://github.com/pydata/xarray/issues/757#issuecomment-182659762 | https://api.github.com/repos/pydata/xarray/issues/757 | MDEyOklzc3VlQ29tbWVudDE4MjY1OTc2Mg== | shoyer 1217238 | 2016-02-11T00:48:18Z | 2016-02-11T00:48:18Z | MEMBER | I agree this is annoying, but I don't think your diagnosis is correct here. The |
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