-------- Original-Nachricht --------
> Datum: Mon, 16 May 2011 11:36:18 -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 11:22 AM, Johannes Radinger
> <jradin...@gmx.at>wrote:
>
> >
> > -------- 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
> > > > > >>
> > > > > >>
> > > > >
> > > >
> > >
> >
> ------------------------------------------------------------------------------
> > > > > >> 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
> > > >
> > > >
> > > 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
> >
> >
> Try setting bbox_inches='tight' in the call to savefig. With
> bbox_inches='tight', you can then specify the 'pad_inches' kwarg to
> indicate
> how much padding to put around the tight bounding box. This should work,
> however some older version of matplotlib might not check the figure text
> objects for calculating the tightest bounding box.
Hej,
I tried your suggestion like:
plt.figure()
plt.figtext(0.01,
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=26)
#plt.show()
plt.savefig("testplot.eps", bbox_inches='tight')
but get following error:
plt.savefig("testplot.eps", bbox_inches='tight')
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/pyplot.py",
line 363, in savefig
return fig.savefig(*args, **kwargs)
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py",
line 1084, in savefig
self.canvas.print_figure(*args, **kwargs)
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/backend_bases.py",
line 1891, in print_figure
bbox_inches = self.figure.get_tightbbox(renderer)
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py",
line 1212, in get_tightbbox
_bbox = Bbox.union([b for b in bb if b.width!=0 or b.height!=0])
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/transforms.py",
line 675, in union
assert(len(bboxes))
AssertionError
For your information:
I work with python 2.6.6 and matplotlib 1.0.1 on Mac OS X 10.6.6
/j
In that case, the way
> that I typically autocrop my eps files is to convert it into a pdf file
> and
> use pdfcrop and then convert it back to eps (assuming you have a standard
> linux install). Here is the chain of commands I typically use on my
> Fedora
> machine:
>
> epstopdf mathtext.eps --outfile=mathtext.temp.pdf
> pdfcrop --margins '15 2 15 2' --clip mathtext.temp.pdf
> mathtext.cropped.pdf
> pdftops mathtext.cropped.pdf mathtext.cropped.eps
>
> You can adjust margins to your tastes, and the names of the files are
> fairly
> arbitrary.
>
> I hope that helps!
> Ben Root
--
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
