-------- 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