Latex axes label issue

ylabel('R$_{xx,ac}$')
worked in matplotlib, didn't work in plotly

thanks for reporting! looks like we'll have to move around our latex $ around a bit

Any ETA on this? Thanks.

@benvarkey

@benvarkey - You can combine LaTeX with plain text by using the Text keyword, i.e.: '$\\beta_{1c} = 25 \\pm 11 \\text{ km s}^{-1}$'. See more examples here: https://plot.ly/python/LaTeX/

For now, re-arranging the $ is out of scope for our matplotlib converter.

It doesn't render with plotly.offline.iplot(...) (shows the raw text), but it renders correctly if exported to plot.ly

Actually, I don't get the rendered text even with pure latex code:

But, when I export to plot.ly, I get this:

Any ideas? Thanks.

I am experiencing the same issue and can confirm this similarly occurs when using plotly offline with MATLAB.

I have the same issue in offline Jupyter notebooks. When I export the plot to the online web-ui it renders the latex label correctly.

Is there any plan to fix/implement this? LaTeX rendering is a fairly important feature when generating scientific plots.

Hey guys, someone on the Front support is wondering about an estimation for when this feature will be fixed. Any ideas?

I would also love using Latex in plotly offline mode!

@jjaraalm

Just wanted to point out to people here that inserting a JavaScript snippet into the notebook fixed the issue for me. Thanks @jjaraalm !!!

@chriddyp

@chriddyp maybe you guys could implement this patch? ❤️

Opening a PR here to try out some different solutions: #683

Same problem here - LaTeX math labels don't render properly in offline mode (in a Jupyter notebook). Hope a fix is coming soon, thanks!

Adding my voice, as well: I would love for this to be fixed.

Same here :)
+1 for fix request

I'm having the same issue as well, its pretty frustrating, and its making me not want to use plotly any more.

@Wes-Skeeter have you tried using the fix mentioned by flo-compbio, see here

this fixed the problem for me, but it's just a workaround and I would also love to have a fix in plotly

Thanks, but unfortunately, this didn't fix it for me :/ I just want to put an overbar on some text labels, not sue why it has to be so complicated. HTML works for things like subscripts, Its frustrating I can't use it for this.

I'm using plotly in offline mode and HTML is working just fine for me, MWE:

import plotly.offline as offline
from plotly.graph_objs import *

offline.init_notebook_mode(connected=True)
layout = Layout(title = '<span style="text-decoration: overline">text</span>')
fig = dict(data = [Scatter()], layout=layout)
offline.iplot(fig)

produces:

What a pity! LaTeX-Code is still not interpreted in offline plots. So I'll have to go back to Matplotlib until this is fixed.

The offline latex/MathJax issues are going to be resolved by plotly/plotly.js#2994 and #1169. Follow along if you're interested!

Done in #1243 and will be released in version 3.4.0. LaTeX support requires no API changes for iplot or FigureWidget support. An additional include_mathjax argument has been added to plotly.offline.plot to specify how MathJax should be included in the resulting html file/div.

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Latex axes label issue #105

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Latex axes label issue #105

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chriddyp commented on Aug 13, 2014

benvarkey commented on Dec 22, 2015

chriddyp commented on Dec 22, 2015

benvarkey commented on Dec 22, 2015

benvarkey commented on Dec 23, 2015

stephf0716 commented on Jan 11, 2016

rethore commented on Feb 11, 2016

nvenayak commented on Jun 7, 2016

Kully commented on Aug 10, 2016

MaryAnnEbeling commented on Jan 31, 2017

flo-compbio commented on Feb 2, 2017

guenp commented on Feb 2, 2017

chriddyp commented on Feb 2, 2017

iliyang commented on Jun 16, 2017

ktran9891 commented on Jun 30, 2017

KseniiaPalin commented on Sep 18, 2017

June-Skeeter commented on Dec 13, 2017

SebastianSchmidl commented on Dec 13, 2017

June-Skeeter commented on Dec 13, 2017

SebastianSchmidl commented on Dec 14, 2017

jdieg0 commented on Apr 27, 2018

jonmmease commented on Sep 21, 2018

jonmmease commented on Oct 30, 2018

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