xarray-contrib / xarray-contrib/flox
CuPy support
Open
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array-types
enhancement
help wanted
- Dominant language
- Python
- Stars
- 137
- Forks
- 24
- PR merge metrics
- No merged PRs in 30d
Description
- We should test with numpy-groupies. CuPy provides bincount, https://github.com/cupy/cupy/issues/7561
- We'd have to avoid factorizing with Pandas unfortunately and use
np.searchsortedornp.digitize; or use CuDF?
Contributor guide
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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 testing numpy-groupies with CuPy's bincount and read CuPy issue 7561. Investigate the stated constraint around Pandas factorization and compare np.searchsorted, np.digitize, or CuDF. Done means the project has a tested, working CuPy support path.
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