Multidimensional reindex
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topic-indexing
- Dominant language
- Python
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Description
From a discussion in #1473 comment
It would be convenient if we have multi-dimensional reindex method, where we consider dimensions and coordinates of indexers.
The proposed outline by @shoyer is
- Given
reindexarguments of the formdim=arraywherearrayis a 1D unlabeled array/list, convert them intoDataArray(array, [(dim, array)]). - Do multi-dimensional indexing with broadcasting like
sel, but fill inNaNfor missing values (we could allow for customizing this with afill_valueargument). - Join coordinates like for
sel, but coordinates from the indexers take precedence over coordinates from the object being indexed.
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 with the discussion in #1473 and the existing reindex and sel behavior. Define how multidimensional indexers broadcast, how missing values receive NaN or a fill_value, and how indexer coordinates take precedence. Done means the proposed multidimensional reindex behavior is implemented and covered by 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
- Mostly clear
- Newbie friendliness
- 35/100