pull_requests: 727340089
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| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 727340089 | MDExOlB1bGxSZXF1ZXN0NzI3MzQwMDg5 | 5767 | closed | 0 | Open mfdataset with long time axis | 23625371 | When `open_mfdataset` is used on files which have a long time axis, sometimes one time axis is cast to `pd.Timestamp` whilst the other is cast to `cftime.datetime`. In such a case, xarray thinks the time co-ordinates are different and won't load and combine the files automatically. This PR identifies this issue. I've also put in a hack solution but there must be a better way to handle this edge case. - [x] Tests added - [ ] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` | 2021-09-05T05:18:14Z | 2021-09-08T01:06:31Z | 2021-09-08T01:06:31Z | a0709c341cecf324ff88b55c354945a54cb60d7e | 1 | 548644aad9bd289258d666a98e668b16a7e45cc6 | 6a29380008dcd790f9adfbc290affcb767c913b2 | CONTRIBUTOR | 13221727 | https://github.com/pydata/xarray/pull/5767 |
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