pull_requests: 533752412
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 533752412 | MDExOlB1bGxSZXF1ZXN0NTMzNzUyNDEy | 4659 | open | 0 | xr.DataArray.from_dask_dataframe feature | 29051639 | This feature allows users to convert Dask DataFrames (of a single type) into a DataArray that uses a Dask array. This solves a gap in the Python ecosystem around saving Dask DataFrames to Zarr which is currently not possible without loading the full dataset into memory. This feature specifically handles the case where a DataFrame is of a single type, a xr.Dataset.from_dask_dataframe could be developed in future to handle the multi-type case. - [x] Closes #4650, closes #3929 - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] New functions/methods are listed in `api.rst` | 2020-12-07T15:22:52Z | 2023-06-08T20:25:58Z | 43dd10bec54d6564e35429c5e533ff603cc89641 | 0 | e73de0eb1af0096c57b764bb6b64ad395f49dd52 | d1e4164f3961d7bbb3eb79037e96cae14f7182f8 | CONTRIBUTOR | 13221727 | https://github.com/pydata/xarray/pull/4659 |
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