pull_requests: 354872657

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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
354872657 MDExOlB1bGxSZXF1ZXN0MzU0ODcyNjU3 3643 closed 0 Pint support for DataArray 14808389 This is part of the effort to add support for pint (see #3594) on `DataArray`. This depends on #3611, so we should merge that first. - [x] Tests added - [x] Passes `black . && mypy . && flake8` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API list of failing tests from #3594: - `__init__`: Needs unit support in IndexVariable, blocked by #1603 - aggregation: + `pint` currently does not implement `prod` + calling `np.median` returns a numpy scalar instead of a `DataArray` because `DataArray` does not implement `__array_function__` + everything else works - bivariate ufuncs: fixed by hgrecco/pint#951 (but the unit won't be correct if the array is not passed first. See hgrecco/pint#1019) - numpy methods: `rank` only works with `numpy.ndarray` (uses `bottleneck`) - `ffill`, `bfill`: uses `bottleneck`, which does not support NEP-18? - `where`: works (but the choice of treating `array(nan)` and `array(0)` as special needs to be discussed) - `interpolate_na`: enforces the use of `numpy.vectorize` which does not support NEP18 - `combine_first`: works, but does not test indexing (which should fail) - `equals`, `identical`: works (right now `identical` returns the same as `equals`) - `drop_sel`, `sel`, `loc`: indexes strip units (#1603) - `interp`: uses `scipy.interpolate.interp1d` which strips units - `interp_like`: same as `interp` - `to_unstacked_dataset`: blocked by IndexVariable - `quantile`: works (but needs a new `pint` version since it uses `numpy.nanquantile` - `rolling`: uses `numpy.lib.stride_tricks.as_strided` which is not supported by NEP18 - `rolling_exp`: numbagg 2019-12-18T23:49:29Z 2020-04-29T16:12:35Z 2020-04-29T16:12:24Z 2020-04-29T16:12:24Z 3820fb77256682d909c1e41d962e29bec0edd62d     0 4303d6b92a33b67045b7d84a2856ff165fa9a7fd b62a3fb2e96e6d88bb866453958a902fd782adc8 MEMBER   13221727 https://github.com/pydata/xarray/pull/3643  

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