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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