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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 760167667 | PR_kwDOAMm_X84tTzzz | 5873 | closed | 0 | Allow indexing unindexed dimensions using dask arrays | bzah 16700639 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #2511 - [x] Closes #4663 - [x] Closes #4276 - [x] xref #7516 - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` This is a naive attempt to make `isel` work with Dask. Known limitation: it triggers the computation. **WIP** The code presented here is mainly to support the discussion on #2511. It has not been unit tested and should probably not be merged as is. | 2021-10-18T07:56:58Z | 2023-03-16T14:54:51Z | 2023-03-15T02:47:59Z | 2023-03-15T02:47:59Z | 83e159e303906a6656f07b728ff9b69dadba39f2 | 0 | 75a629976ff5e431a80d02b591cd2ffdbe984422 | 49ae0f8dd39e8fc59ed3476f50b9938bbb40d0c4 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/5873 | ||||
| 800082232 | PR_kwDOAMm_X84vsEk4 | 6068 | closed | 0 | DOC: Add "auto" to dataarray `chunk` method | bzah 16700639 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [ ] Closes #xxxx - [ ] Tests added - [x] Passes `pre-commit run --all-files` - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` This PR adds `str` type on `datarray.chunk` method the same way it is accepted on `dataset.chunk`. The corresponding documentation has been updated. I wanted to add a unit test for `da.chunk("auto")` but the existing tests seems to rely on zarr which I don't know at all. | 2021-12-10T16:50:24Z | 2022-01-03T21:35:02Z | 2022-01-03T21:35:02Z | 2022-01-03T21:35:02Z | 0a40bf19536ec8b7e417e8085e384fb0208f06ba | 0 | 5bce866afaa7409d6f0bd52178dcee4977e6868b | 2694046c748a51125de6d460073635f1d789958e | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/6068 | ||||
| 828648264 | PR_kwDOAMm_X84xZCtI | 6182 | closed | 0 | DOC: fix dead link | bzah 16700639 | <!-- Feel free to remove check-list items aren't relevant to your change --> Fix link to "Generalized Universal Function API" of Numpy's doc | 2022-01-21T15:41:49Z | 2022-01-21T16:19:07Z | 2022-01-21T16:16:26Z | 2022-01-21T16:16:26Z | e512cf2f0b31cf9080b506cd5814ed0a5a185ce9 | 0 | 79199e0789e1a7d5c18caee2c1ccad25b21b7210 | 0ffb0f42282a1b67c4950e90e1e4ecd146307aa8 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/6182 | ||||
| 1503215624 | PR_kwDOAMm_X85ZmUAI | 8147 | closed | 0 | Add support for netCDF4.EnumType | bzah 16700639 | This pull request add support for enums on netcdf4 backend. Enum were added in netCDF4-python in 1.2.0 (September 2015). In the netcdf format, they are defined as types and can be use across the dataset to type variable when on creation. They are meant to be an alternative to flag_values, flag_meanings. This pull request makes it possible for xarray to read existing enums in a file, convert them into flag_values/flag_meanings and save them as enums when an special encoding flag is filled in. TODO: - [x] Add implementation for other backends ? Will be added in follow-up PR ---- <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #8144 - [x] Tests added - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` | 2023-09-05T17:20:50Z | 2024-01-17T19:10:51Z | 2024-01-17T07:19:32Z | 2024-01-17T07:19:32Z | d20ba0d387d206a21d878eaf25c8b3392f2453d5 | 0 | f22046dbf97d930b54163f4cda9b0081edc1fb38 | 33d51c8da3acbdbe550e496a006184bda3de3beb | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/8147 |
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