issues: 58117200

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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
58117200 MDU6SXNzdWU1ODExNzIwMA== 324 Support multi-dimensional grouped operations and group_over 1217238 open 0   741199 12 2015-02-18T19:42:20Z 2022-02-28T19:03:17Z   MEMBER      

Multi-dimensional grouped operations should be relatively straightforward -- the main complexity will be writing an N-dimensional concat that doesn't involve repetitively copying data.

The idea with group_over would be to support groupby operations that act on a single element from each of the given groups, rather than the unique values. For example, ds.group_over(['lat', 'lon']) would let you iterate over or apply to 2D slices of ds, no matter how many dimensions it has.

Roughly speaking (it's a little more complex for the case of non-dimension variables), ds.group_over(dims) would get translated into ds.groupby([d for d in ds.dims if d not in dims]).

Related: #266

 
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