pull_requests: 404033294
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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 |
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404033294 | MDExOlB1bGxSZXF1ZXN0NDA0MDMzMjk0 | 3975 | closed | 0 | pint support for Dataset | 14808389 | This is part of the effort to add support for `pint` (see #3594) to `Dataset` objects (although it will probably be a test-only PR, just like #3643). - [x] Tests added - [x] Passes `isort -rc . && black . && mypy . && flake8` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API The list of failing tests from #3594: * Dataset methods - `__init__`: Needs unit support in IndexVariable, and merge does not work yet (test bug is also possible) - aggregation: `xarray` does not implement `__array_function__` (see #3917) - `rank`: depends on `bottleneck` and thus only works with `numpy.array` - `ffill`, `bfill`: uses `bottleneck` - `interpolate_na`: uses `numpy.vectorize`, which does not support NEP-18, yet - `equals`, `identical`: works (but no units / unit checking in `IndexVariable`) - `broadcast_like`: works (but no units / unit checking in `IndexVariable`) - `to_stacked_array`: no units in `IndexVariable` - `sel`, `loc`: no units in `IndexVariable` - `interp`, `reindex`: partially blocked by `IndexVariable`. `reindex` works with units in `data`, but `interp` uses `scipy` - `interp_like`, `reindex_like`: same as `interp` / `reindex` - `quantile`: works, but needs `pint` >= 0.12 - `groupby_bins`: needs `pint` >= 0.12 (for `isclose`) - `rolling`: uses `numpy.lib.stride_tricks.as_strided` - `rolling_exp`: uses `numbagg` (supports NEP-18, but `pint` doesn't support its functions) | 2020-04-15T23:11:15Z | 2020-06-17T20:40:12Z | 2020-06-17T20:40:07Z | 2020-06-17T20:40:07Z | 66e77309ad48a5ad0dbe774c5500bb52775b9372 | 0 | 91b95a4960f727d3d0715361b1c20cde2409126d | 2ba530026fb273a2882869a6e09ede053a0f081b | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/3975 |
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