pull_requests: 244657599
This data as json
| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 244657599 | MDExOlB1bGxSZXF1ZXN0MjQ0NjU3NTk5 | 2674 | closed | 0 | Skipping variables in datasets that don't have the core dim | 5635139 | ref https://github.com/pydata/xarray/pull/2650#issuecomment-454164295 This seems an ugly way of accomplishing the goal; any ideas for a better way of doing this? And stepping back, do others think a) it's helpful to skip variables in a dataset, and b) `apply_ufunc` should do this? | 2019-01-15T02:43:11Z | 2021-05-13T22:02:19Z | 2021-05-13T22:02:19Z | 0c8cdcae8445c8bd627d75e82e422562430b0175 | 0 | dfa40da0f41bd7cb20634653e38dc0a447535cf5 | 7bf9df9d75c40bcbf2dd28c47204529a76561a3f | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/2674 |
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