posit-dev / posit-dev/py-shiny
Support interactive graphs in render.plot (or otherwise without shinywidgets)
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 135
- Avg merge
- 2d 18h
- Merged PRs (30d)
- 21
Description
Using an ipywidget/shinywidget to get plotly/altair/bokeh graphs feels much less intuitive than baking this support into render.plot or otherwise natively supporting interactive graphs, rather than as an interactive graph as one of many HTML-embedded widgets.
This was mentioned as a comment in #311, but I don't see an active issue on it. Reading the documentation on widgets, it sounds like there's already a lot of complexity here, so I don't know the technical hurdles, but I wanted to create an issue on it.
Contributor guide
No contributing guide indexed for this repository
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
Read the widget documentation and the discussion in #311 first, then locate the render.plot entry point. Compare how plotly, altair, and bokeh output is currently handled through ipywidget/shinywidget. Done should be defined as an agreed native path for interactive graphs and documented supported behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- plotly, python
- Domain
- data-visualization, frontend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100