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.
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
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