compose weighted with groupby, coarsen, resample, rolling etc.
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API design
topic-groupby
- Dominant language
- Python
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Description
It would be nice to make weighted work with groupby - e.g. #3935 (comment)
However, it is not entirely clear to me how that should be done. One way would be to do:
da.groupby(...).weighted(weights).mean()
this would require that the groupby operation is applied over the weights (how would this be done?)
Or should it be
da.weighted(weights).groupby(...).mean()
but this seems less intuitive to me.
Or
da.groupby(..., weights=weights).mean()
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the referenced #3935 comment and comparing the proposed weighted/groupby forms in this issue. Determine the intended API and how weighted operations should compose with groupby, coarsen, resample, and rolling; done means the chosen behavior is implemented and covered by appropriate tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100