My guess is that somehow the output format of bbox device in the
recent ghostscript has changed.
What kind of output do you get when you run
> gs -dBATCH -dNOPAUSE -sDEVICE=bbox test.eps
in your shell (replace "test.eps" with any eps file you have)
I get
GPL Ghostscript 8.61 (2007-11-21)
Copyright (C) 2007 Artifex Software, Inc. All rights reserved.
This software comes with NO WARRANTY: see the file PUBLIC for details.
%%BoundingBox: 71 214 541 578
%%HiResBoundingBox: 71.207998 214.811993 540.629984 577.169982
The last two lines are what matplotlib requires to work.
Meanwhile, can you test if following changes make things work?
In lib/matplotlib/backends/backend_ps.py, comment out following two
lines near the end of the function "xpdf_distill" (around line 1458 in
my code), i.e.,
if eps:
pstoeps(tmpfile, bbox)
It will not raise the error, but may give you a wrong bbox.
Regards,
-JJ
On Mon, Jan 11, 2010 at 3:11 PM, John Reid <j.r...@mail.cryst.bbk.ac.uk> wrote:
> Thanks for looking at this. I upgraded to 99.1.1 (although the tar file
> was named 99.1.2) and I got the same error message. When I played with
> the ps.usedistiller option I found it only doesn't work when I set
> ps.usedistiller to xpdf. With False or ghostscript it works ok but gives
> me output with different page sizes. AFAIK xpdf is the way to go for
> publication quality graphics. Do you know how I can get it to work? Is
> it worth trying the svn version?
>
> Thanks,
> John.
>
>
>
> Jae-Joon Lee wrote:
>> You code works okay with the current svn.
>>
>> See if changing the distiller option makes any difference
>> ("ps.usedistiller" in the rc file).
>>
>> The best would be for you to upgrade to the recent release of
>> matplotlib if possible.
>>
>> Regards,
>>
>> -JJ
>>
>>
>> On Mon, Jan 11, 2010 at 8:35 AM, John Reid <j.r...@mail.cryst.bbk.ac.uk>
>> wrote:
>>> Hi,
>>>
>>> I'm using matplotlib 0.98.5.2 on Ubuntu with Ghostscript 8.70. The
>>> following code produces the following error. Can anyone verify whether
>>> this a problem with my installation or with matplotlib?
>>>
>>> import pylab as P
>>> P.figure()
>>> width=.4
>>> x1 = [-0.4, 0.6, 1.6, 2.6, 3.6, 4.6, 5.6]
>>> y1 = [1.0, 0.96875, 0.77584381616639686, 0.54678532728659146,
>>> 0.4043846450263317, 0.28361561411668612, 1.0]
>>> x2 = [0, 1, 2, 3, 4, 5, 6]
>>> y2 = [1.0, 0.97032301818547173, 0.77110383361936519,
>>> 0.54221305796207875, 0.40019201884735922, 0.28326596333427007, 1.0]
>>> P.bar(x1, y1, color='blue' , width=width, label='nodes')
>>> P.bar(x2, y2, color='green', width=width, label='occurrences')
>>> P.savefig('fraction-evaluated.eps')
>>> P.close()
>>>
>>>
>>>
>>>
>>> /home/john/Dev/MyProjects/Bio/MotifSearch/python/stem.py in <module>()
>>> 246 P.bar(x1, y1, color='blue' , width=width, label='nodes')
>>> 247 P.bar(x2, y2, color='green', width=width, label='occurrences')
>>> --> 248 P.savefig('fraction-evaluated.eps')
>>> 249 P.close()
>>> 250 raise
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/pyplot.pyc
>>> in savefig(*args, **kwargs)
>>> 343 def savefig(*args, **kwargs):
>>> 344 fig = gcf()
>>> --> 345 return fig.savefig(*args, **kwargs)
>>> 346 if Figure.savefig.__doc__ is not None:
>>> 347 savefig.__doc__ = dedent(Figure.savefig.__doc__)
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/figure.pyc
>>> in savefig(self, *args, **kwargs)
>>> 988 patch.set_alpha(0.0)
>>> 989
>>> --> 990 self.canvas.print_figure(*args, **kwargs)
>>> 991
>>> 992 if transparent:
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_wxagg.pyc
>>> in print_figure(self, filename, *args, **kwargs)
>>> 99 def print_figure(self, filename, *args, **kwargs):
>>> 100 # Use pure Agg renderer to draw
>>> --> 101 FigureCanvasAgg.print_figure(self, filename, *args,
>>> **kwargs)
>>> 102 # Restore the current view; this is needed because the
>>> 103 # artist contains methods rely on particular attributes
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backend_bases.pyc
>>> in print_figure(self, filename, dpi, facecolor, edgecolor, orientation,
>>> format, **kwargs)
>>> 1417 edgecolor=edgecolor,
>>> 1418 orientation=orientation,
>>> -> 1419 **kwargs)
>>> 1420 finally:
>>> 1421 self.figure.dpi = origDPI
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backend_bases.pyc
>>> in print_eps(self, *args, **kwargs)
>>> 1306 from backends.backend_ps import FigureCanvasPS # lazy
>>> import
>>> 1307 ps = self.switch_backends(FigureCanvasPS)
>>> -> 1308 return ps.print_eps(*args, **kwargs)
>>> 1309
>>> 1310 def print_pdf(self, *args, **kwargs):
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.pyc
>>> in print_eps(self, outfile, *args, **kwargs)
>>> 867
>>> 868 def print_eps(self, outfile, *args, **kwargs):
>>> --> 869 return self._print_ps(outfile, 'eps', *args, **kwargs)
>>> 870
>>> 871 def _print_ps(self, outfile, format, *args, **kwargs):
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.pyc
>>> in _print_ps(self, outfile, format, *args, **kwargs)
>>> 893 else:
>>> 894 self._print_figure(outfile, format, imagedpi,
>>> facecolor, edgecolor,
>>> --> 895 orientation, isLandscape, papertype)
>>> 896
>>> 897 def _print_figure(self, outfile, format, dpi=72,
>>> facecolor='w', edgecolor='w',
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.pyc
>>> in _print_figure(self, outfile, format, dpi, facecolor, edgecolor,
>>> orientation, isLandscape, papertype)
>>> 1036 gs_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox)
>>> 1037 elif rcParams['ps.usedistiller'] == 'xpdf':
>>> -> 1038 xpdf_distill(tmpfile, isEPSF, ptype=papertype,
>>> bbox=bbox)
>>> 1039
>>> 1040 if passed_in_file_object:
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.pyc
>>> in xpdf_distill(tmpfile, eps, ptype, bbox)
>>> 1311 shutil.move(psfile, tmpfile)
>>> 1312 if eps:
>>> -> 1313 pstoeps(tmpfile, bbox)
>>> 1314 for fname in glob.glob(tmpfile+'.*'):
>>> 1315 os.remove(fname)
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.pyc
>>> in pstoeps(tmpfile, bbox)
>>> 1362 Convert the postscript to encapsulated postscript.
>>> 1363 """
>>> -> 1364 bbox_info = get_bbox(tmpfile, bbox)
>>> 1365
>>> 1366 epsfile = tmpfile + '.eps'
>>>
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.pyc
>>> in get_bbox(tmpfile, bbox)
>>> 1336 else:
>>> 1337 raise RuntimeError('Ghostscript was not able to extract
>>> a bounding box.\
>>> -> 1338 Here is the Ghostscript output:\n\n%s'% bbox_info)
>>> 1339 l, b, r, t = [float(i) for i in bbox_info.split()[-4:]]
>>> 1340
>>>
>>> RuntimeError: Ghostscript was not able to extract a bounding box.Here is
>>> the Ghostscript output:
>>>
>>> GPL Ghostscript 8.70: Unrecoverable error, exit code 1
>>>
>>> >
>>> /usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-x86_64.egg/matplotlib/backends/backend_ps.py(1338)get_bbox()
>>> 1337 raise RuntimeError('Ghostscript was not able to extract
>>> a bounding box.\
>>> -> 1338 Here is the Ghostscript output:\n\n%s'% bbox_info)
>>> 1339 l, b, r, t = [float(i) for i in bbox_info.split()[-4:]]
>>>
>>>
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