Timeline for JupyterLab interactive plot
Current License: CC BY-SA 4.0
Post Revisions
18 events
| when toggle format | what | by | license | comment | |
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| Feb 3 at 13:27 | history | edited | Benjamin Loison | CC BY-SA 4.0 |
Remove incorrect automatic Python syntax highlighting
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| Mar 15, 2025 at 8:22 | history | edited | Franck Dernoncourt | CC BY-SA 4.0 |
edited title
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| Aug 5, 2024 at 12:37 | answer | added | Aleksejs Fomins | timeline score: 1 | |
| May 18, 2022 at 20:55 | history | edited | Mateen Ulhaq | CC BY-SA 4.0 |
Condense. Formatting.
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| Jun 5, 2021 at 18:58 | answer | added | saaj | timeline score: 4 | |
| Feb 17, 2021 at 16:41 | answer | added | Paidoo | timeline score: 11 | |
| Apr 4, 2020 at 15:27 | answer | added | Aray Karjauv | timeline score: 2 | |
| Aug 3, 2019 at 18:43 | comment | added | NeStack |
What worked for me: 1.) use %matplotlib widget 2.) Make sure that you have Jupyter Lab version > 1.0 and ipywidgets > 7.5 installed, as adviced here: github.com/matplotlib/jupyter-matplotlib/issues/133 3.) Open Jupyter Lab from the terminal with the command jupyter lab. I was using before a programme that was making for me a short cut, so I don't have to open the terminal
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| Jul 12, 2019 at 14:39 | history | protected | Sheldore | ||
| Apr 25, 2019 at 11:41 | answer | added | Mateen Ulhaq | timeline score: 103 | |
| Nov 16, 2018 at 15:46 | history | edited | Petko.Maria.John | CC BY-SA 4.0 |
Removed formalities.
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| Sep 24, 2018 at 20:42 | answer | added | John | timeline score: 13 | |
| May 10, 2018 at 3:04 | vote | accept | Albatross | ||
| May 9, 2018 at 6:55 | answer | added | Albatross | timeline score: 11 | |
| May 3, 2018 at 7:54 | comment | added | Georgy | I had the same problem recently. Try this: github.com/matplotlib/jupyter-matplotlib/issues/… | |
| May 3, 2018 at 7:51 | comment | added | Albatross |
This is Jupyterlab, however. Using this method also outputs JavaScript output is disabled in JupyterLab
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| May 3, 2018 at 7:48 | comment | added | tda | When using Jupyter notebooks, I tend to use > import matplotlib > matplotlib.use('nbagg') to get an interactive plot with pan/zoom functionality. See: matplotlib.org/users/prev_whats_new/… | |
| May 3, 2018 at 7:45 | history | asked | Albatross | CC BY-SA 4.0 |