Sheesh it's been a weird day. I failed to reply to the whole list.
Jouni, sorry about the duplciate message...
> <phob...@geosyntec.com> writes:
> > |C:\Documents and Settings\phobson>ipython26 -pylab
>
> From: Jouni K. Seppänen [mailto:j...@iki.fi] Could you try this in
> plain Python? I'm asking because you seem to be getting an IPython
> warning about a possibly corrupted traceback:
>
> > ERROR: An unexpected error occurred while tokenizing input The
> > following traceback may be corrupted or invalid The error message
> > is: ('EOF in multi-line statement', (550, 0))
>
> I suggest you write your commands in a script and run it with
>
> python script.py --verbose-debug
Jouni: Thanks for the prompt reply. I did just that. Calling the script both
ways (w/ and w/o the PDF backend) fails with a lot of out. This time I've
included the verbose output as an attached text file. I apologize of that's a
mailing list faux pas. Here's the code for the script, pyTest.py:
import pylab as pl
x = pl.arange(6)
y = x + 5
pl.plot(x,y,'ko', zorder=10)
pl.xlabel('X-label, no TeX')
pl.ylabel('Y-label. no math')
pl.savefig('no_math.png')
pl.savefig('no_math.pdf')
pl.xlabel(r'some math: $\tau_{y}$')
pl.savefig('some_math.png')
pl.savefig('some_math.pdf')
# EOF
no_math.* and some_math.png are created just fine. The error occurred trying to
create some_math.pdf.
I'm really at a loss b/c I could swear I created fairly complex figures with
output to PDF about a week ago and don't recall changing my Python or MPL
installation.
> so that we can get a better picture of where it is going wrong.
>
> Also, does it matter that you are using Qt4Agg? You can test this by
> trying
Both seemed to provide the same error message, so I've only included the
verbose output from C:\Python25>python c:\GDAG2009\python\pyTest.py -d pdf
--verbose-debug
For grins and giggles, I went to my matplotlibrc file and commented out the
lines telling MPL to use Droid fonts (even though they never gave me a problem
before). That didn't change anything.
Thanks again,
-paul
C:\Python25>python c:\GDAG2009\python\pyTest.py -d pdf --verbose-debug
$HOME=C:\Documents and Settings\phobson
CONFIGDIR=C:\Documents and Settings\phobson\.matplotlib
matplotlib data path C:\Python25\lib\site-packages\matplotlib\mpl-data
loaded rc file C:\Documents and Settings\phobson\.matplotlib\matplotlibrc
matplotlib version 0.99.1
verbose.level debug
interactive is False
units is False
platform is win32
loaded modules: ['numpy.lib._iotools', 'xml.sax.urlparse', 'distutils',
'matplotlib.errno', 'pylab', 'subprocess', 'gc', 'matplotl
ib.tempfile', 'distutils.sysconfig', 'ctypes._endian', 'encodings.encodings',
'matplotlib.colors', 'msvcrt', 'numpy.testing.sys',
'numpy.core.info', 'xml', 'numpy.fft.types', 'numpy.ma.operator',
'numpy.ma.cPickle', 'struct', 'numpy.random.info', 'tempfile', '
xml.sax.urllib', 'numpy.linalg', 'matplotlib.threading',
'numpy.testing.operator', 'imp', 'numpy.testing', 'collections', 'numpy.c
ore.umath', '_struct', 'distutils.types', 'numpy.lib.numpy',
'numpy.core.scalarmath', 'matplotlib.matplotlib', 'string', 'matplotl
ib.subprocess', 'numpy.testing.os', 'matplotlib.locale',
'numpy.lib.arraysetops', 'numpy.testing.unittest', 'numpy.lib.math', 'mat
plotlib.__future__', 'numpy.testing.re', 'itertools', 'numpy.version',
'numpy.lib.re', 'distutils.re', 'ctypes.os', 'numpy.core.os
', 'numpy.lib.type_check', 'numpy.lib.__builtin__', 'signal',
'numpy.lib.types', 'numpy.lib._datasource', 'random', 'threading', '
token', 'numpy.fft.fftpack_lite', 'matplotlib.cbook', 'ctypes.ctypes',
'xml.sax.xmlreader', 'numpy.__builtin__', 'dis', 'distutils
.version', 'cStringIO', 'numpy.ma.core', 'numpy.numpy', 'matplotlib.StringIO',
'locale', 'numpy.add_newdocs', 'numpy.lib.getlimits
', 'xml.sax.saxutils', 'matplotlib.numpy', 'numpy.lib.sys', 'encodings',
'numpy.ma.itertools', 'numpy.lib.io', 'numpy.ma.extras',
'numpy.testing.decorators', 'matplotlib.warnings', 'matplotlib.string',
'_subprocess', 'urllib', 'matplotlib.sys', 're', 'numpy.li
b._compiled_base', 'ntpath', 'new', 'numpy.random.mtrand', 'math',
'numpy.fft.helper', 'numpy.ma.warnings', 'inspect', 'numpy.ma.i
nspect', 'UserDict', 'numpy.lib.function_base', 'distutils.os', 'matplotlib',
'numpy.fft.numpy', 'numpy.lib.ufunclike', 'numpy.lib
.info', 'numpy.core.numerictypes', 'ctypes', 'numpy.lib.warnings',
'ctypes.struct', 'codecs', 'numpy.core._sort', 'numpy.os', '_lo
cale', 'matplotlib.sre_constants', 'matplotlib.os', 'thread', 'StringIO',
'numpy.core.memmap', 'traceback', 'weakref', 'numpy.core
._internal', 'numpy.fft.fftpack', 'opcode', 'numpy.linalg.lapack_lite',
'distutils.sys', 'os', 'numpy.lib.itertools', '__future__'
, 'matplotlib.copy', 'xml.sax.types', 'matplotlib.traceback', '_sre',
'unittest', 'numpy.core.sys', 'numpy.random', 'numpy.linalg.
numpy', '__builtin__', 'numpy.lib.twodim_base', 'matplotlib.re',
'numpy.core.cPickle', 'operator', 'numpy.core.arrayprint', 'distu
tils.string', 'numpy.lib.arrayterator', 'ctypes._ctypes', 'ctypes.sys',
'matplotlib.datetime', 'numpy.testing.nosetester', 'numpy.
lib.financial', 'numpy.core.multiarray', 'errno', '_socket', 'binascii',
'sre_constants', 'datetime', 'numpy.ma', 'xml.sax.handler
', 'types', 'tokenize', 'numpy.lib.stride_tricks', 'numpy.core.numpy', 'numpy',
'matplotlib.types', 'numpy.core.defmatrix', 'xml.s
ax.os', 'cPickle', 'matplotlib.xml', '_codecs', 'numpy.lib.operator',
'encodings.cp1252', 'matplotlib.pyparsing', 'nturl2path', 'n
umpy.ma.numpy', 'copy', 'numpy.core.re', 'socket', '_types',
'numpy.core.fromnumeric', 'numpy.ctypeslib', 'numpy.lib.scimath', 'nu
mpy.fft', 'numpy.lib', 'numpy.random.numpy', 'encodings.aliases',
'matplotlib.distutils', 'exceptions', 'sre_parse', 'numpy.core.c
StringIO', 'numpy.core.ctypes', 'distutils.distutils', 'copy_reg',
'sre_compile', 'xml.sax', '_random', 'numpy.lib.__future__', 's
ite', 'numpy.lib.polynomial', 'numpy._import_tools', 'numpy.core.copy_reg',
'zipimport', '__main__', 'numpy.fft.info', 'numpy.core
.records', 'shutil', 'numpy.lib.cPickle', 'numpy.sys', 'matplotlib.weakref',
'numpy.core._dotblas', 'numpy.testing.traceback', 'st
rop', 'numpy.testing.numpytest', 'numpy.core.numeric', 'numpy.linalg.info',
'encodings.codecs', 'numpy.ctypes', 'numpy.core', 'mat
plotlib.rcsetup', 'matplotlib.time', 'nt', 'xml.sax._exceptions',
'xml.sax.codecs', 'stat', '_ssl', 'numpy.lib.utils', 'numpy.lib.
index_tricks', 'warnings', 'encodings.types', 'numpy.core.defchararray',
'_ctypes', 'numpy.lib.shape_base', 'numpy.core.types', 's
ys', 'numpy.core.warnings', 'numpy.core.__builtin__', 'xml.sax.sys',
'numpy.lib.format', 'numpy.lib.os', 'numpy.__config__', 'os.p
ath', 'numpy.lib.shutil', 'matplotlib.fontconfig_pattern', '_weakref',
'distutils.errors', 'urlparse', 'linecache', 'matplotlib.sh
util', 'numpy.lib.cStringIO', 'time', 'numpy.lib.machar',
'numpy.linalg.linalg', 'numpy.testing.utils']
Using fontManager instance from C:\Documents and
Settings\phobson\.matplotlib\fontList.cache
backend Qt4Agg version 0.9.1
findfont: Matching
:family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to Droid Sans (C:\WINDOWS
\Fonts\DroidSans.ttf) with score of 0.000000
Assigning font /F1 = C:\WINDOWS\Fonts\DroidSans.ttf
Embedding font C:\WINDOWS\Fonts\DroidSans.ttf
Writing TrueType font
findfont: Matching
:family=STIXGeneral:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXGeneral (C:\Pytho
n25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXGeneral.ttf) with score
of 0.000000
findfont: Matching
:family=STIXNonUnicode:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0
to STIXNonUnicode (C:\P
ython25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXNonUniBol.ttf) with
score of 0.000000
findfont: Matching
:family=STIXGeneral:style=normal:variant=normal:weight=bold:stretch=normal:size=10.0
to STIXGeneral (C:\Python2
5\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXGeneralBol.ttf) with
score of 0.000000
findfont: Matching
:family=STIXSize3:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXSize3 (C:\Python25\
lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXSiz3Sym.ttf) with score of
0.000000
findfont: Matching
:family=STIXSize4:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXSize4 (C:\Python25\
lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXSiz4Sym.ttf) with score of
0.000000
findfont: Matching
:family=STIXSize5:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXSize5 (C:\Python25\
lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXSiz5Sym.ttf) with score of
0.000000
findfont: Matching
:family=STIXSize1:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXSize1 (C:\Python25\
lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXSiz1Sym.ttf) with score of
0.000000
findfont: Matching
:family=STIXSize2:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXSize2 (C:\Python25\
lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXSiz2Sym.ttf) with score of
0.000000
findfont: Matching
:family=STIXGeneral:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXGeneral (C:\Pytho
n25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXGeneralItalic.ttf) with
score of 0.000000
findfont: Matching
:family=STIXNonUnicode:style=italic:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXNonUnicode (C:
\Python25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXNonUniIta.ttf)
with score of 0.000000
findfont: Matching
:family=STIXNonUnicode:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
to STIXNonUnicode (C:
\Python25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXNonUni.ttf) with
score of 0.000000
Assigning font /F1 = C:\WINDOWS\Fonts\DroidSans.ttf
Assigning font /F2 =
C:\Python25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXNonUniIta.ttf
Assigning font /F3 =
C:\Python25\lib\site-packages\matplotlib\mpl-data\fonts\ttf\STIXGeneralItalic.ttf
Traceback (most recent call last):
File "c:\GDAG2009\python\pyTest.py", line 12, in <module>
pl.savefig('some_math.pdf')
File "C:\Python25\Lib\site-packages\matplotlib\pyplot.py", line 356, in
savefig
return fig.savefig(*args, **kwargs)
File "C:\Python25\Lib\site-packages\matplotlib\figure.py", line 1032, in
savefig
self.canvas.print_figure(*args, **kwargs)
File "C:\Python25\Lib\site-packages\matplotlib\backends\backend_qt4agg.py",
line 144, in print_figure
FigureCanvasAgg.print_figure(self, *args, **kwargs)
File "C:\Python25\Lib\site-packages\matplotlib\backend_bases.py", line 1476,
in print_figure
**kwargs)
File "C:\Python25\Lib\site-packages\matplotlib\backend_bases.py", line 1334,
in print_pdf
return pdf.print_pdf(*args, **kwargs)
File "C:\Python25\Lib\site-packages\matplotlib\backends\backend_pdf.py", line
2025, in print_pdf
self.figure.draw(renderer)
File "C:\Python25\Lib\site-packages\matplotlib\artist.py", line 46, in
draw_wrapper
draw(artist, renderer, *kl)
File "C:\Python25\Lib\site-packages\matplotlib\figure.py", line 773, in draw
for a in self.axes: a.draw(renderer)
File "C:\Python25\Lib\site-packages\matplotlib\artist.py", line 46, in
draw_wrapper
draw(artist, renderer, *kl)
File "C:\Python25\Lib\site-packages\matplotlib\axes.py", line 1735, in draw
a.draw(renderer)
File "C:\Python25\Lib\site-packages\matplotlib\artist.py", line 46, in
draw_wrapper
draw(artist, renderer, *kl)
File "C:\Python25\Lib\site-packages\matplotlib\axis.py", line 757, in draw
self.label.draw(renderer)
File "C:\Python25\Lib\site-packages\matplotlib\text.py", line 565, in draw
ismath=ismath)
File "C:\Python25\Lib\site-packages\matplotlib\backends\backend_pdf.py", line
1516, in draw_text
if ismath: return self.draw_mathtext(gc, x, y, s, prop, angle)
File "C:\Python25\Lib\site-packages\matplotlib\backends\backend_pdf.py", line
1378, in draw_mathtext
self.file.output(self.encode_string(unichr(num), fonttype), Op.show)
ValueError: unichr() arg not in range(0x10000) (narrow Python build)------------------------------------------------------------------------------
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