-------- Original-Nachricht --------
> Datum: Fri, 13 May 2011 10:58:15 -0400
> Von: Michael Droettboom <md...@stsci.edu>
> An: matplotlib-users@lists.sourceforge.net
> Betreff: Re: [Matplotlib-users] eps output and fill_between
> Running it through gs (ghostscript) gives this error:
>
> =====
>
> GPL Ghostscript 8.70 (2009-07-31)
> Copyright (C) 2009 Artifex Software, Inc. All rights reserved.
> This software comes with NO WARRANTY: see the file PUBLIC for details.
> Error: /stackoverflow in -file-
> Operand stack:
> --nostringval--
> Execution stack:
> %interp_exit .runexec2 --nostringval-- --nostringval--
> --nostringval-- 2 %stopped_push --nostringval--
> --nostringval-- --nostringval-- false 1 %stopped_push 1846
> 1 3 %oparray_pop 1845 1 3 %oparray_pop --nostringval--
> 1829 1 3 %oparray_pop 1723 1 3 %oparray_pop
> --nostringval-- %errorexec_pop .runexec2 --nostringval--
> --nostringval-- --nostringval-- 2 %stopped_push
> Dictionary stack:
> --dict:1148/1684(ro)(G)-- --dict:0/20(G)-- --dict:75/200(L)--
> --dict:7/8(L)--
> Current allocation mode is local
> Current file position is 675310
> GPL Ghostscript 8.70: Unrecoverable error, exit code 1
>
> =====
>
> This indicates that the Postscript is running out of stack space
> (memory). Indeed, the file has a very large path in it.
>
> A little background: matplotlib includes an algorithm to "simplify"
> really long paths by removing points that don't actually contribute to
> the resulting image. Unfortunately, this algorithm only works for
> unfilled paths -- dealing with the more general case of filled paths is
> more difficult. That's why you only see this problem when using
> "fill_between" and not just when plotting lines.
>
> The problem here is that it's hard to trap for this error -- the size of
> the Postscript stack is dependent on the Postscript interpreter being
> used, so what works in one place may not in another.
>
> A simple way around this is to just decimate the data, i.e.:
>
> plt.plot(x[::5], pdf_min[::5], x[::5], pdf_max[::5], color="k")
> plt.fill_between(x[::5], pdf_min[::5], pdf_max[::5], color='0.85')
>
> but obviously that's not doing anything terribly smart, so it won't work
> with all data.
First thank you for that way how it works...
just some short questions, after I tried it this way (and it is working:)):
1) What does this decimate [::5] actually mean, what does it?
2) In which case will it fail if you say it won't work with all data?
3) Actually I have to use that [::5] only for the fill_between as the usual
line plot works, or am I wrong?
/johannes
>
> Mike
>
> On 05/13/2011 10:00 AM, Johannes Radinger wrote:
> > Does anyone already know what causes the problem with the fill_between
> and the eps output?
> >
> > /johannes
> >
> >
> > -------- Original-Nachricht --------
> >
> >> Datum: Thu, 12 May 2011 17:10:43 +0200
> >> Von: Johannes Radinger<jradin...@gmx.at>
> >> An: John Hunter<jdh2...@gmail.com>
> >> CC: matplotlib-users@lists.sourceforge.net
> >> Betreff: Re: [Matplotlib-users] eps output and fill_between
> >>
> >
> >> Hello again,
> >>
> >> I tried the script you provided to test the PolyCollection and that
> works
> >> fine.
> >> I am working under Mac OS X 10.6.6 Snow Leopard and use matplotlib
> 1.0.1.
> >>
> >> That is the script where I fail with eps but not with pdf:
> >>
> >>
> >>
> >> import matplotlib.pyplot as plt
> >> import numpy
> >> from scipy import stats
> >>
> >> p=0.3
> >> m=0
> >> s1min=120
> >> s1max=140
> >> s2min=1200
> >> s2max=1600
> >>
> >> x = numpy.arange((s2max*-1.5), (s2max*1.5), 0.2)
> >>
> >> def pdf(x,s1,s2):
> >> return p * stats.norm.pdf(x, loc=m, scale=s1) + (1-p) *
> >> stats.norm.pdf(x, loc=m, scale=s2)
> >>
> >>
> >> pdf_min = pdf(x,s1min,s2min)
> >> pdf_max = pdf(x,s1max,s2max)
> >>
> >> plt.plot(x, pdf_min, x, pdf_max, color="k")
> >> plt.fill_between(x, pdf_min, pdf_max, color='0.85')
> >>
> >>
> >> #plt.show()
> >> #plt.savefig("testplot.eps")
> >> plt.savefig("testplot.pdf")
> >>
> >>
> >> /Johannes
> >>
> >> Am 12.05.2011 um 15:28 schrieb John Hunter:
> >>
> >>
> >>>
> >>> On Thu, May 12, 2011 at 3:42 AM, Johannes Radinger<jradin...@gmx.at>
> >>>
> >> wrote:
> >>
> >>> Hello ,
> >>>
> >>> sofar I know how to safe a plot into a *.eps file and it works good,
> >>> but there is one issue with filled areas between two functions.
> >>>
> >>> When I try to use:
> >>> plt.fill_between(x, pdf_min, pdf_max, color='0.85')
> >>>
> >>> and I try to open it on my mac I fail. So far as I know
> >>> is the mac converting the eps internally to pdf to be
> >>> displayed, but it seems it can't be converted.
> >>>
> >>> If I try to set the output to *.pdf it works perfectly and I can
> >>> open the file. Something in the combination of fill_between
> >>> and eps is causing the error. I tried also color="red" but with
> >>> the same problems.
> >>>
> >>> Is there anything I've to set because I need the output as
> >>> a working eps.
> >>>
> >>>
> >>> under the hool, fill_between uses a PolyCollection. Below is a simple
> >>>
> >> example which uses a PolyCollection directly. Does this crash when you
> >> convert eps -> pdf. If not, maybe we can hone in on what is special
> about the
> >> vertices in your fill_between example. Also, you should give us some
> >> information about what version of matplotlib and OSX you are running.
> >>
> >>>
> >>> import numpy as np
> >>> import matplotlib.collections as mcollections
> >>> import matplotlib.pyplot as plt
> >>>
> >>> theta = np.linspace(0, 2*np.pi, 20)
> >>> x1 = np.cos(theta)
> >>> y1 = np.sin(theta)
> >>>
> >>> x2 = x1 + 5
> >>> y2 = y1 + 5
> >>>
> >>> verts1 = zip(x1, y1)
> >>> verts2 = zip(x2, y2)
> >>>
> >>> c = mcollections.PolyCollection([verts1, verts2], facecolors=['red',
> >>>
> >> 'green'])
> >>
> >>> ax = plt.subplot(111)
> >>> ax.add_collection(c)
> >>> ax.axis([-5, 10, -5, 10])
> >>>
> >>> plt.savefig('test.eps')
> >>> plt.show()
> >>>
> >>>
> >>
> >
>
>
> --
> Michael Droettboom
> Science Software Branch
> Space Telescope Science Institute
> Baltimore, Maryland, USA
>
>
> ------------------------------------------------------------------------------
> 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
