pull_requests: 764455744
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 764455744 | PR_kwDOAMm_X84tkKtA | 5886 | closed | 0 | Use .to_numpy() for quantified facetgrids | 35968931 | Follows on from https://github.com/pydata/xarray/pull/5561 by replacing `.values` with `.to_numpy()` in more places in the plotting code. This allows `pint.Quantity` arrays to be plotted without issuing a `UnitStrippedWarning` (and will generalise better to other duck arrays later). I noticed the need for this when trying out [this example](https://pint-xarray.readthedocs.io/en/latest/examples/plotting.html#plot) (but trying it without the `.dequantify()` call first). (@Illviljan in theory `.values` should be replaced with `.to_numpy()` everywhere in the plotting code by the way) - [ ] Closes #xxxx - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` | 2021-10-22T19:25:24Z | 2021-10-28T22:42:43Z | 2021-10-28T22:41:59Z | 2021-10-28T22:41:59Z | 36f05d70c864ee7c61603c8a43ba721bf7f434b3 | 0 | baad9de14dc2f95a777f88a33f1815ffd9ab2dfc | c210f8b9e3356590ee0d4e25dbb21b93cf7a5309 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/5886 |
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