[Feature Request] Surface fitting for simple data, and example that shows the surface in plotly
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- fsharp, plotly
- Domain
- data-visualization
Research direction
No files or tests are identified. Start by reviewing the repository's existing fitting APIs and Plotly-related examples, then define the supported three-axis surface-fitting approach and a sample that overlays the fitted surface with scattered source data; done means the example runs and demonstrates both outputs.
Written by the indexing model from the issue text.
Description
I want to produce a surface from a combination of data currently in 3 axis, I am using matlab to produce a thin plate spline model and also poly44 and wondered if there are any options to do this with this lib?
Describe the solution you'd like
I would like a sample that generates a surface fit for data in 3 axis and produces a Plotly ploy showing the surface and the original data scattered on top.
Describe alternatives you've considered
Matlab/Python examples are easy to google but I can include one if needed.
- Dominant language
- F#
- Stars
- 227
- Forks
- 58
- Avg merge
- 2d 7h
- Merged PRs (30d)
- 1
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing 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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