Least squares polynomial fit method
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 150
- Forks
- 23
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 2
Description
Feature request for a least squares polynomial fit method. An example use case would be for calculating and plotting the temperature trends over a period of time.
On similar lines of:
https://docs.xarray.dev/en/stable/generated/xarray.Dataset.polyfit.html
https://numpy.org/doc/stable/reference/generated/numpy.polyfit.html
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 comparing the requested behavior with xarray.Dataset.polyfit and numpy.polyfit, which are the referenced entry points. Determine the fitting inputs, outputs, metadata expectations, and plotting use case before proposing the method; done means the project has an agreed, usable polynomial-fit interface for temperature trends.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100