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After a bit of digging I found that the problem is caused by the line:
KPX Y ydieresis -'0
in the font files jkplmsc8a.afm and jkpmsc8a.afm installed with the
package texlive-fonts-extra. When afm.py parses this line it fails because
it can't convert the last token "-'0" to float.
I don't know much about AFM so I'm not sure what is the best way to fix
this. Should I modify afm.py to handle this line (remove the single quote)
or edit the afm files? And to whom should I send a bug report, matplotlib
or texlive-fonts-extra?
Thanks,
- Ivan
--
Ivan Lima
Woods Hole Oceanographic Institution, MC&G MS #25
360 Woods Hole Road, Woods Hole, MA 02543-1543 USA
On Fri, Nov 1, 2013 at 5:13 PM, Ivan Lima <iv...@wh...> wrote:
> After upgrading to matplotlib 1.3.1-1 importing matplotlib.pyplot fails
> with the error:
>
> Python 2.7.5+ (default, Sep 17 2013, 15:31:50)
> [GCC 4.8.1] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import matplotlib.pyplot
> Found an unknown keyword in AFM header (was Each)
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was Each)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was Each)
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was Each)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Found an unknown keyword in AFM header (was )
> Found an unknown keyword in AFM header (was The)
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Value error parsing header in AFM: UnderlinePosition -41,5039
> Value error parsing header in AFM: UnderlineThickness 43,9453
> Traceback (most recent call last):
>
> File "<stdin>", line 1, in <module>
> File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 24, in
> <module>
> import matplotlib.colorbar
> File "/usr/lib/pymodules/python2.7/matplotlib/colorbar.py", line 29, in
> <module>
> import matplotlib.collections as collections
> File "/usr/lib/pymodules/python2.7/matplotlib/collections.py", line 23,
> in <module>
> import matplotlib.backend_bases as backend_bases
> File "/usr/lib/pymodules/python2.7/matplotlib/backend_bases.py", line
> 50, in <module>
> import matplotlib.textpath as textpath
> File "/usr/lib/pymodules/python2.7/matplotlib/textpath.py", line 11, in
> <module>
> import matplotlib.font_manager as font_manager
> File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
> 1356, in <module>
> _rebuild()
> File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
> 1341, in _rebuild
> fontManager = FontManager()
> File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
> 1008, in __init__
> self.afmlist = createFontList(self.afmfiles, fontext='afm')
> File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
> 563, in createFontList
> font = afm.AFM(fh)
> File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 342, in
> __init__
> parse_afm(fh)
> File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 331, in
> parse_afm
> doptional = _parse_optional(fh)
> File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 313, in
> _parse_optional
> d[key] = optional[key](fh)
> File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 246, in
> _parse_kern_pairs
> c1, c2, val = _to_str(vals[1]), _to_str(vals[2]), _to_float(vals[3])
> ValueError: could not convert string to float: -'0
>
> The problem is with the Adobe Font Metric. Has anyone run into this
> problem and found a solution or workaround? Any help is greatly appreciated.
>
> My system is Debian testing with Python 2.7.5 and NumPy 1.7.1-3.
>
> Thanks,
> --
> Ivan Lima
> Woods Hole Oceanographic Institution, MC&G MS #25
> 360 Woods Hole Road, Woods Hole, MA 02543-1543 USA
>

Hi,
I'd recommend to load the binary data and store it as a numpy ndarray,
http://docs.scipy.org/doc/numpy/reference/arrays.ndarray.html
If your data is one-dimensional you can simply use matplotlib.pyplot.hist,
http://matplotlib.org/api/pyplot_api.html
to plot the histogram. The 'normed' keyword argument allows matplotlib
to normalize the histogram so that the plot will show the pdf.
In order to unpack the data-files you need to know the binary format.
Can you please provide more information about that.
Best,
Benjamin
On 04.11.2013 07:03, Sourav Chatterjee wrote:
> I have binary files containing some discrete data. I need to calculate
> the probability density function (pdf) and plot the same. Do I need to
> unpack the data files? How? For plotting the pdf what module is easier?
>
> -- 
> Sourav Chatterjee
> Trainee Scientist
> Indian Institute of Tropical Meteorology, Pune 
>
>
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> Mat...@li...
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-- 
Benjamin Trendelkamp-Schroer
Freie Universität Berlin
FB Mathematik + Informatik
Institut für Mathematik
Arnimallee 6 
D-14195 Berlin-Dahlem
tre...@ze...
+49-(0)30-838-75364

I have binary files containing some discrete data. I need to calculate the
probability density function (pdf) and plot the same. Do I need to unpack
the data files? How? For plotting the pdf what module is easier?
-- 
Sourav Chatterjee
Trainee Scientist
Indian Institute of Tropical Meteorology, Pune

In article <211...@co...>,
 Piet van Oostrum <pi...@va...> wrote:
> I tried to install matplotlib 1.3.1 on the release candidates of Python 2.7.6 
> and 3.3.3.
[...]
Please open an issue on the Python bug tracker for the Python component of 
this.
http://bugs.python.org
-- 
 Ned Deily,
 na...@ac...

Hello,
I tried to install matplotlib 1.3.1 on the release candidates of Python 2.7.6 and 3.3.3.
I am on Mac OS X 10.6.8.
Although the installation gave no problems, there is a problem with Tcl/Tk.
The new Pythons have their own embedded Tcl/Tk, but when installing matplotlib it links to the Frameworks version of Tcl and TK, not to the embedded version. This causes confusion when importing matplotlib.pyplot:
objc[70648]: Class TKApplication is implemented in both /Library/Frameworks/Python.framework/Versions/2.7/lib/libtk8.5.dylib and /Library/Frameworks/Tk.framework/Versions/8.5/Tk. One of the two will be used. Which one is undefined.
objc[70648]: Class TKMenu is implemented in both /Library/Frameworks/Python.framework/Versions/2.7/lib/libtk8.5.dylib and /Library/Frameworks/Tk.framework/Versions/8.5/Tk. One of the two will be used. Which one is undefined.
objc[70648]: Class TKContentView is implemented in both /Library/Frameworks/Python.framework/Versions/2.7/lib/libtk8.5.dylib and /Library/Frameworks/Tk.framework/Versions/8.5/Tk. One of the two will be used. Which one is undefined.
objc[70648]: Class TKWindow is implemented in both /Library/Frameworks/Python.framework/Versions/2.7/lib/libtk8.5.dylib and /Library/Frameworks/Tk.framework/Versions/8.5/Tk. One of the two will be used. Which one is undefined.
And then later it gives a lot of error messages.
So I think it should be linked to the embedded version. For this the matplotlib setupext.py should be adapted to find out if there is an embedded Tcl/Tk in the Python installation and set the link parameters accordingly. However, the installed Python versions (from the DMG's) do not contain the Tcl/Tk header files, only the shared library and the tcl files. So I thing the distributed Python should also include the Tcl/Tk header files.
-- 
Piet van Oostrum <pi...@va...>
WWW: http://pietvanoostrum.com/
PGP key: [8DAE142BE17999C4]