The font you are using (SimHei) does not have any glyph names -- these
are used in the Postscript backend to refer to glyphs outside of the
ASCII range. More specifically, it looks like it has at least one
invalid glyph name (glyph names can only contain ASCII characters) --
loading it in FontForge complains about this. I haven't come across such
a font before, but maybe that's common in CJK fonts. I don't know. I'm
looking through the spec to find a way that glyphs can be referenced
without a name, but I'm not finding one. Note, the PDF backend has the
same issue.
Do you have the same problem if you remove "SimHei" from the
font.sans-serif list and thus use "Adobe Song Std" instead? (I was able
to find an online download of SimHei to test with, but not Adobe Song Std).
As a workaround, the Cairo backend seems to handle this font just fine.
You can add
import matplotlib
matplotlib.use('GtkCairo')
to the top of your script.
Mike
David wrote:
> Hello everybody,
>
> I have a final problem with my graph. As a last step I produce an
> *.eps file that I use in conjunction with LaTeX.
>
> Here is the last part of my code:
>
> # plt.title('Title')
> xlab = plt.xlabel(u'输入 1')
> #xlab.set_position((0.2, 0.1))
> ylab = plt.ylabel(u'输入 2')
> plt.grid(True)
> plt.subplots_adjust(bottom=0.2)
> plt.show()
> plt.savefig('dea.eps')
>
>
> plt.show() produces the correct output,
>
> but
>
> plt.savefig('dea.eps') produces an error (the error message is attached).
>
> The error is clearly linked to the Chinese, as it runs through if I
> take the Chinese out of the code.
> Also, plt.savefig('dea.png') works fine.
>
> Could anyone indicate where I would have to look for the mistake? The
> matplotlibrc should be fine, but I am not sure.
>
> Your help would be greatly appreciated!
>
> Many thanks,
>
> David
>
>
>
>
>
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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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