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matplotlib figures are interactive when using the default backend. If would be useful have have at least the resizing functionality in the notebook interface.
It would be nice to have resizeable figures in the notebook interface, at least in the cases where it's easy to implement (is it possible to do it e.g. for SVG output only?)
I think they use websocket for frontend/backend communication. If we can replace that with ipython's one... , I can help to take a look some time in the furture
See #1881 for improving/switching to SVG matplotlib output.
Scaling SVG plots holding the aspect ratio fixed is possible now just using CSS. Changing the aspect ratio requires requesting matplotlib to re-plot. Zooming or panning (as is possible in the matplotlib gtk/qt interface) is not currently possible, and would require writing a new backend along the lines of mplh5canvas.
yes in a more general way, enable js<>kerel (didn't say python) communications
No.
Envoyé de mon iPhone
Le 16 sept. 2013 à 21:05, Sylvain Corlay [email protected] a écrit :
Hi,
I am coming back on this old issue as mplh5canvas is mentioned.
Is there any plan in the future to either
integrate the matplotlib html5 backend with the notebook,
integrate the matplotlib qt backend with the qt console for inline plots, rather than only relying on the static png images?
Best,
Sylvain
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Reply to this email directly or view it on GitHub.
I saw (and tried) the pull request 4195, but the example relies on an other js plotting library rather than leveraging matplotlib with a potential html/js backend.
I don't think so... IIRC, there was some problem with the re sizing and we defined to have no resizable figures... let me find the issues/PRs... OK here: #8098 and here: #8062
Activity
ellisonbg commentedon Jan 5, 2012
I think this is something we can do.
cschin commentedon Feb 29, 2012
I am wondering whether we should look into how to integrate the matplotlib HMTL5 canvas backend http://code.google.com/p/mplh5canvas/
Sharpie commentedon Feb 29, 2012
The mplh5canvas features list doesn't look too encouraging:
Ouch.
cschin commentedon Feb 29, 2012
I think they use websocket for frontend/backend communication. If we can replace that with ipython's one... , I can help to take a look some time in the furture
mcelrath commentedon Jun 8, 2012
See #1881 for improving/switching to SVG matplotlib output.
Scaling SVG plots holding the aspect ratio fixed is possible now just using CSS. Changing the aspect ratio requires requesting matplotlib to re-plot. Zooming or panning (as is possible in the matplotlib gtk/qt interface) is not currently possible, and would require writing a new backend along the lines of mplh5canvas.
ellisonbg commentedon Jun 8, 2012
We can do zooming and panning with the current inline backend and a JavaScript widget that uses our display system. It shouldn't be too bad actually.
SylvainCorlay commentedon Sep 16, 2013
Hi,
I am coming back on this old issue as mplh5canvas is mentioned.
Is there any plan in the future to either
for inline plots, rather than only relying on the static png images?
Best,
Sylvain
Carreau commentedon Sep 16, 2013
Envoyé de mon iPhone
Le 16 sept. 2013 à 21:05, Sylvain Corlay [email protected] a écrit :
SylvainCorlay commentedon Sep 16, 2013
damianavila commentedon Feb 1, 2014
In current master, the figure are resizeable inside the notebook, so probably we can close this one...
startakovsky commentedon Jul 26, 2015
@damianavila Is this still true? Running IPython Notebook 3.0.1 here..... Vanilla install. Ubuntu.
This is not resizable from the notebook:
damianavila commentedon Jul 29, 2015
I don't think so... IIRC, there was some problem with the re sizing and we defined to have no resizable figures... let me find the issues/PRs... OK here: #8098 and here: #8062
startakovsky commentedon Jul 31, 2015
@damianavila Thanks.