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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 143511107 | MDExOlB1bGxSZXF1ZXN0MTQzNTExMTA3 | 1597 | closed | 0 | Add methods for combining variables of differing dimensionality | nbren12 1386642 | - [x] Closes #1317 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API While working on #1317, I settled upon combining `stack` and `to_array` to create two dimensional numpy arrays given an xarray Dataset. Unfortunately, `to_array` automatically broadcasts the variables of dataset, which is not always a desirable behavior. For instance, I was trying to combine precipitation (a horizontal field) and temperature (a 3D field) into one array. This PR enables this by adding two new methods to xarray: - `Dataset.stack_cat`, and - `DataArray.unstack_cat`. `stack_cat` uses `stack`, `expand_dims`, and `concat` to reshape a Dataset into a Dataarray with a helpful MultiIndex, and `unstack_cat` reverses the process. I implemented this functionality as a new method since `to_array` is such a clean method already. I really appreciate your thoughts on this. Thanks! cc @jhamman @shoyer | 2017-09-27T22:01:57Z | 2019-07-05T15:59:51Z | 2019-07-05T00:32:51Z | 2019-07-05T00:32:51Z | 9c0fb6c6ca4a4da52ba5b0c2b17c12573a66def0 | 0 | e08622a9dd78581c7051ca24d559410022022860 | e26fbca88cb6c3b950bd52879a193de85feef7c8 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/1597 | ||||
| 166949770 | MDExOlB1bGxSZXF1ZXN0MTY2OTQ5Nzcw | 1885 | closed | 0 | Raise when pcolormesh coordinate is not sorted | nbren12 1386642 | - [x] Closes #1852 (remove if there is no corresponding issue, which should only be the case for minor changes) - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) I added a simple warning to `_infer_interval_breaks` in `xarray/plot/plot.py`. The warning does not currently say the name of the coordinate, because that would requiring introducing a new function or potentially passing a name argument, which seems overly complicated for such a small dit. Hopefully, this isn't a problem because the user can easily figure out which coordinate is not sorted by process of elimination. | 2018-02-03T06:37:34Z | 2018-02-18T19:26:36Z | 2018-02-18T19:06:31Z | 2018-02-18T19:06:31Z | be27319bcf6a754f1655918fac45c1cd2cfa0cec | 0 | 246de86f1b2a2b1bd1b49f80f5ed1d5ee411a6b1 | e0621c7d66c13b486b1890f67a126caec2990da7 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/1885 | ||||
| 310641314 | MDExOlB1bGxSZXF1ZXN0MzEwNjQxMzE0 | 3262 | closed | 0 | [WIP] Implement 1D to ND interpolation | nbren12 1386642 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #3252 - [ ] Tests added - [ ] Passes `black . && mypy . && flake8` - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API | 2019-08-24T21:23:21Z | 2020-12-17T01:29:12Z | 2020-12-17T01:29:12Z | 42bb2932e40f9f868e35afd540c8117dd668f041 | 0 | 5f90f4ed52210aaa1e3afd6c5da2f2295df31363 | 7bf9df9d75c40bcbf2dd28c47204529a76561a3f | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/3262 | |||||
| 432754049 | MDExOlB1bGxSZXF1ZXN0NDMyNzU0MDQ5 | 4144 | closed | 0 | Improve typehints of xr.Dataset.__getitem__ | nbren12 1386642 | To resolve some common type-related errors, this PR adds some overload type hints to `Dataset.__getitem__`. Now mypy can correctly infer that hashable inputs return DataArrays. - [x] Closes #4125 - [x] Passes `isort -rc . && black . && mypy . && flake8` | 2020-06-10T23:33:41Z | 2020-06-17T01:41:27Z | 2020-06-15T11:25:53Z | 2020-06-15T11:25:52Z | bc5c79e5f79d8d7fbb1ed593a5413028a1bdfb36 | 0 | 400dc62b0627b2deae4422d4579c1762cfcf4274 | e8bd8665e8fd762031c2d9c87987d21e113e41cc | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/4144 |
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