-------- Original-Nachricht -------- > Datum: Mon, 16 May 2011 09:49:24 -0500 > Von: Benjamin Root <ben.r...@ou.edu> > An: "matplotlib-users@lists.sourceforge.net" > <matplotlib-users@lists.sourceforge.net> > Betreff: Re: [Matplotlib-users] [SciPy-User] use matplotlib to produce > mathathematical expression only
> On Monday, May 16, 2011, Johannes Radinger <jradin...@gmx.at> wrote: > > > > -------- 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 > > _______________________________________________ > > SciPy-User mailing list > > scipy-u...@scipy.org > > http://mail.scipy.org/mailman/listinfo/scipy-user > > > > We have added a new feature to do just that in the development branch, > but it should be fairly trivial to do with existing releases of > matplotlib. Just create a figure object and use its figtitle to hold > the expression and then save the figure. It might be trivial but how to remove the axis/plot then and crop the extend of the eps? I tried: plt.figure() plt.title(r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$', fontsize=20) plt.show() /j > > Ben Root > > ------------------------------------------------------------------------------ > 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