corr and ewm
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- pandas, python
- Domain
- data, stream-processing
Research direction
No file or test is named in the issue. Start by locating streamz's existing rolling-window entry point and comparing it with the Pandas rolling and EWM APIs; confirm the desired scope and finite-window cutoff semantics with maintainers. Done means an agreed feature scope and tests covering any accepted correlation or EWM behavior.
Written by the indexing model from the issue text.
Description
Would be nice to have more Pandas rolling window functions in streamz.
I implemented rolling correlation and exponential weighted window. The EWM uses a cut-off threshold for finite window sizes.
Is there interest in a PR of either?
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 149
- Avg merge
- 17h 39m
- Merged PRs (30d)
- 1
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.
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