issue_comments
2 rows where issue = 168901028 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 |
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457893587 | https://github.com/pydata/xarray/issues/934#issuecomment-457893587 | https://api.github.com/repos/pydata/xarray/issues/934 | MDEyOklzc3VlQ29tbWVudDQ1Nzg5MzU4Nw== | shoyer 1217238 | 2019-01-27T06:49:52Z | 2019-01-27T06:49:52Z | MEMBER | This will be part of the explicit indexes refactor (https://github.com/pydata/xarray/issues/1603) |
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Should indexing be possible on 1D coords, even if not dims? 168901028 | |
236960237 | https://github.com/pydata/xarray/issues/934#issuecomment-236960237 | https://api.github.com/repos/pydata/xarray/issues/934 | MDEyOklzc3VlQ29tbWVudDIzNjk2MDIzNw== | shoyer 1217238 | 2016-08-02T16:27:16Z | 2016-08-02T16:27:16Z | MEMBER | Yes, this would be nice to support automatically. Doing indexing requiring constructing a hash table (in the form of a The only material difference between So there are a few approaches we could take here:
1. Convert 1D coordinates that are not dimensions into a |
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Should indexing be possible on 1D coords, even if not dims? 168901028 |
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