-------- Original-Nachricht --------
> Datum: Mon, 16 May 2011 08:28:49 -0500
> Von: Robert Kern <robert.k...@gmail.com>
> An: SciPy Users List <scipy-u...@scipy.org>
> CC: matplotlib-users@lists.sourceforge.net
> Betreff: Re: [Matplotlib-users] [SciPy-User] use matplotlib to produce        
> mathathematical expression only

> On Mon, May 16, 2011 at 08:21, Johannes Radinger <jradin...@gmx.at> wrote:
> > Hello,
> >
> > I want to produce a eps file of following mathematical expression:
> >
> r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$'
> >
> > is it possible to somehow missuse matplotlib for that to produce only
> the function without any other plot things? Or is there a better python
> library within scipy? I don't want to install the complete latex libraries 
> just
> for producing this single eps file.
> 
> Check out mathtex. It is matplotlib's TeX parsing engine and renderer
> broken out into a separate library:
> 
> http://code.google.com/p/mathtex/

I also thought about mathtex but don't know how to use my mathematical 
expression without a plot of axis etc. any suggestions? I just want to have the 
formated math expression as eps and I don't know how to do it, still after 
reading in the matplotlib-manual.

/johannes


> 
> Also, please send matplotlib questions just to the matplotlib list.
> Thanks.
> 
> -- 
> Robert Kern
> 
> "I have come to believe that the whole world is an enigma, a harmless
> enigma that is made terrible by our own mad attempt to interpret it as
> though it had an underlying truth."
>   -- Umberto Eco
> 
> ------------------------------------------------------------------------------
> Achieve unprecedented app performance and reliability
> What every C/C++ and Fortran developer should know.
> Learn how Intel has extended the reach of its next-generation tools
> to help boost performance applications - inlcuding clusters.
> http://p.sf.net/sfu/intel-dev2devmay
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

-- 
NEU: FreePhone - kostenlos mobil telefonieren und surfen!                       
Jetzt informieren: http://www.gmx.net/de/go/freephone

------------------------------------------------------------------------------
Achieve unprecedented app performance and reliability
What every C/C++ and Fortran developer should know.
Learn how Intel has extended the reach of its next-generation tools
to help boost performance applications - inlcuding clusters.
http://p.sf.net/sfu/intel-dev2devmay
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to