Question: should I use `%matplotlib widget` or `%matplotlib ipympl`
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, matplotlib
- Domain
- documentation
Research direction
Start with the README guidance for %matplotlib widget and compare it with the reported %matplotlib ipympl behavior in JupyterLab and VS Code. Review the linked Discourse experiment and determine what recommendation the documentation should give for existing %matplotlib notebook notebooks. Done means the README clearly states which backend to use and where it works.
Written by the indexing model from the issue text.
Description
the README suggests to use
%matplotlib widget
however based on a small experiment that I described also here
https://discourse.jupyter.org/t/interactive-matplotlib-in-jupyterlab-no-longer-working/20017/3?u=parmentelat
it seems like using
%matplotlib ipympl
works too, and even better in the sense that it works also in vs-code
so, which is best ?
(I have several hundreds of notebooks written with
%matplotlib notebook
and that now must be changed for jlab4/nb7 at least, so as far as possible Id like to change them only once ;-)
and thank you for the awesome tool 👍
- Dominant language
- Jupyter Notebook
- Stars
- 1.7k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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