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3 rows where issue = 124441012 and user = 1217238 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 168516553 | https://github.com/pydata/xarray/issues/692#issuecomment-168516553 | https://api.github.com/repos/pydata/xarray/issues/692 | MDEyOklzc3VlQ29tbWVudDE2ODUxNjU1Mw== | shoyer 1217238 | 2016-01-03T16:35:57Z | 2016-01-03T16:35:57Z | MEMBER |
You're right that this won't come up in many circumstances. It's only that, like with numpy, we try to make xray operations always generalize to multi-dimensional arrays. |
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Transpose modifies dtype of index, when a PeriodIndex 124441012 | |
| 168354211 | https://github.com/pydata/xarray/issues/692#issuecomment-168354211 | https://api.github.com/repos/pydata/xarray/issues/692 | MDEyOklzc3VlQ29tbWVudDE2ODM1NDIxMQ== | shoyer 1217238 | 2016-01-02T01:11:13Z | 2016-01-02T01:11:37Z | MEMBER | The challenge is that the pandas Index has a much smaller API than numpy/dask.array. For example, it doesn't have a I'm all for preserving indexes (including all their quirks) in situations where it's possible. And in other cases, we should fall back to numpy arrays with dtype=object holding appropriate scalars. As for this particular issue, have you tested this after the changes in https://github.com/xray/xray/pull/691? I actually can't reproduce this issue on master. |
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Transpose modifies dtype of index, when a PeriodIndex 124441012 | |
| 168345966 | https://github.com/pydata/xarray/issues/692#issuecomment-168345966 | https://api.github.com/repos/pydata/xarray/issues/692 | MDEyOklzc3VlQ29tbWVudDE2ODM0NTk2Ng== | shoyer 1217238 | 2016-01-01T22:53:24Z | 2016-01-01T22:53:24Z | MEMBER | Hmm. One possible fix would be adjust |
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Transpose modifies dtype of index, when a PeriodIndex 124441012 |
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