issues: 600641276

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
600641276 MDExOlB1bGxSZXF1ZXN0NDA0MDMzMjk0 3975 pint support for Dataset 14808389 closed 0     5 2020-04-15T23:11:15Z 2020-06-17T20:40:12Z 2020-06-17T20:40:07Z MEMBER   0 pydata/xarray/pulls/3975

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)

 
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