Okay, I just confirmed that using a gs distiller greatly increases the
file size with gs 9.0.
I have no idea what's going on and I hope that someone more
knowledgeable than me steps in.
Meanwhile, using the "ps2write" device with gs seems to solve the
issue (but I'm not sure of its consequences).
So, can you test if the workaround works?
In lib/matplotlib/backends/backend_ps.py, search for the following
line in the "gs_distill" function,
command = '%s -dBATCH -dNOPAUSE -r%d -sDEVICE=pswrite %s -sOutputFile="%s" \
and replace "pswrite" with "ps2write".
Regards,
-JJ
On Sun, Mar 13, 2011 at 1:45 AM, Thomas Robitaille
<thomas.robitai...@gmail.com> wrote:
> Hi Jae-Joon,
>
> Ok, that makes sense - I tried upgrading to 9.0.1 and it looks like there is
> still an issue:
>
> 6204 test_1.eps
> 34104 test_2.eps
>
> Cheers,
> Tom
>
> On Mar 12, 2011, at 11:38 AM, Jae-Joon Lee wrote:
>
>> Note that, even with usetex=False, you have a large ps file when
>> distiller is used .
>> When usetex=True, the distiller is always used (if distiller=None,
>> ghostscript is used).
>> Therefore, my guess is that the large file size is results of
>> distilling using the ghostscript.
>> I wonder if this is an issue of gs 9.0 version.
>> In my installation (gs 8.xx), the original ps file is about 6 M (both
>> usetex=True and False), and when they are distilled, their size is
>> reduced down to 4 M.
>>
>> I'll try to test gs 9.0 when I get a chance.
>> Meanwhile, can you try to upgrade to gs 9.01 and see if it changes anything?
>>
>> Regards,
>>
>> -JJ
>>
>>
>>
>> On Sat, Mar 12, 2011 at 2:46 AM, Thomas Robitaille
>> <thomas.robitai...@gmail.com> wrote:
>>> Hi Jae-Joon,
>>>
>>> I tried inserting:
>>>
>>> mpl.rc('ps', usedistiller=None)
>>>
>>> after importing matplotlib, and I get:
>>>
>>> $ du -sk *.eps
>>> 6204 test_1.eps
>>> 34104 test_2.eps
>>>
>>> using 'ghostscript' I get:
>>>
>>> $ du -sk *.eps
>>> 34096 test_1.eps
>>> 34104 test_2.eps
>>>
>>> and using 'xpdf' raises an exception:
>>>
>>> File
>>> "/Users/tom/Library/Python/2.6/site-packages/matplotlib/backends/backend_ps.py",
>>> line 1091, in _print_figure
>>> xpdf_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox)
>>> File
>>> "/Users/tom/Library/Python/2.6/site-packages/matplotlib/backends/backend_ps.py",
>>> line 1421, in xpdf_distill
>>> image.\nHere is the full report generated by pdftops: \n\n' + fh.read())
>>> RuntimeError: pdftops was not able to process your image.
>>> Here is the full report generated by pdftops:
>>>
>>> I don't have a matplotlibrc file, and I am using:
>>>
>>> Ghostscript: GPL Ghostscript 9.00 (2010-09-14)
>>> LaTeX: Version 3.1415926-1.40.10 (TeX Live 2009)
>>>
>>> and I'm using the latest head from github for matplotlib.
>>>
>>> Cheers,
>>> Tom
>>>
>>> On Mar 8, 2011, at 7:31 AM, Jae-Joon Lee wrote:
>>>
>>>> With current master at git repo, I cannot reproduce this.
>>>> Both test_1.eps and test_2.eps are ~4M in size.
>>>>
>>>> Can you check if the file size varies significantly with rc parameters
>>>> ps.usedistiller?
>>>> I'm not sure how text setting can affect the images.
>>>>
>>>> Regards,
>>>>
>>>> -JJ
>>>>
>>>>
>>>>
>>>> On Tue, Mar 1, 2011 at 7:23 AM, Thomas Robitaille
>>>> <thomas.robitai...@gmail.com> wrote:
>>>>> Hi,
>>>>>
>>>>> In the following example:
>>>>>
>>>>> ---
>>>>>
>>>>> import numpy as np
>>>>>
>>>>> import matplotlib as mpl
>>>>> mpl.use('Agg')
>>>>> import matplotlib.pyplot as plt
>>>>>
>>>>> fig = plt.figure()
>>>>> ax = fig.add_subplot(1, 1, 1)
>>>>> ax.imshow(np.random.random((1024, 1024)), interpolation='nearest')
>>>>> fig.savefig('test_1.eps')
>>>>>
>>>>> mpl.rc('text', usetex=True)
>>>>>
>>>>> fig = plt.figure()
>>>>> ax = fig.add_subplot(1, 1, 1)
>>>>> ax.imshow(np.random.random((1024, 1024)), interpolation='nearest')
>>>>> fig.savefig('test_2.eps')
>>>>>
>>>>> ---
>>>>>
>>>>> the file test_2.eps is almost 6 times larger than test_1.eps, and takes
>>>>> much longer to draw. It looks like in the first case, the image is
>>>>> rendered as a bitmap (the way it should be), whereas in the second case
>>>>> each pixel is drawn individually as a polygon. Is this a bug?
>>>>>
>>>>> I am using r8988 of matplotlib.
>>>>>
>>>>> Thanks for any help!
>>>>>
>>>>> Thomas
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>
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