pull_requests: 544394771
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 544394771 | MDExOlB1bGxSZXF1ZXN0NTQ0Mzk0Nzcx | 4723 | closed | 0 | scatter plot by order of the first appearance of hue | 14808389 | As suggested by @ahuang11, this uses `pandas.unique(x.flatten())` instead of `numpy.unique(x)` to preserve the order (`numpy.unique` sorts its output). Apparently we could also use the `return_index` option of `numpy.unique` to reconstruct the order, but that seems involve sorting the indices: ```python def _unique(array): array = array.flatten() _, indices = np.unique(array, return_index=True) return array[np.sort(indices)] ``` I'm not sure how to add tests for this change. - [x] Closes #4641 - [ ] Tests added - [x] Passes `isort . && black . && mypy . && flake8` - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` | 2020-12-22T22:00:52Z | 2021-01-13T23:02:42Z | 2021-01-13T23:02:33Z | 2021-01-13T23:02:33Z | 747fe26881af073e23b9b09796664f2dd2d4821b | 0 | f60db7484bbfe8de015ce352c7617c076e3d5ecc | 1ce8938f1d783971b56d22a5a077d8cbddc836a0 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/4723 |
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