Extend custom weight functions
Open
Nobody has claimed this yet.
enhancement
help wanted
- Dominant language
- Python
- Stars
- 385
- Forks
- 102
- Avg merge
- 4d 2h
- Merged PRs (30d)
- 9
Description
For some use cases the radius is not enough to do a proper resampling.
We are having this problem with categorical data which can not be averaged in a meaningful way but needs e.g. a decision tree to determine the correct aggregate.
This is probably slightly related to issue #12.
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 reading issue #12 and the existing resampling and custom-weight entry points in pyresample. The issue does not name files, tests, or a concrete interface; done would require a decided approach for applying custom aggregation to categorical data, followed by implementation and validation.
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