-------- Original-Nachricht --------
> Datum: Mon, 16 May 2011 10:59:34 -0500
> Von: Benjamin Root <ben.r...@ou.edu>
> An: Johannes Radinger <jradin...@gmx.at>
> CC: matplotlib-users@lists.sourceforge.net
> Betreff: Re: [Matplotlib-users] use matplotlib to produce mathathematical
> expression only
> On Mon, May 16, 2011 at 10:21 AM, Johannes Radinger
> <jradin...@gmx.at>wrote:
>
> >
> > -------- 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
> > > >>
> > > >>
> > >
> >
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> > > >
> > >
> > > 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
> >
> >
> Use figtext instead. I did the following and it looked fine to me:
>
> plt.figure()
> plt.figtext(0.1, 0.5,
> 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()
>
thats working nearly perfect, I would just need to crop the display extend
resp. the white space from the eps around...any option/idea?
/j
>
> I hope that helps!
> Ben Root
--
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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
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