Dear Chris and List,
pdf2ps is usually just a front end to a long-winded ghostscript ("gs")
command. On my system this comes out as:
gs -q -dNOPAUSE -dBATCH -P- -dSAFER -sDEVICE=ps2write
"-sOutputFile=$outfile" -c save pop -f "$1"
If you're feeling brave, you can look at the ghostscript manual for ways to
improve upon the results (http://www.ghostscript.com/doc/9.07/Use.htm).
I've had to play this "game" with Astronomy journals in the past, and what
I actually did was save the output as a JPEG of ridiculously high
resolution and then put a postscript wrapper around it using jpeg2ps (
http://www.pdflib.com/download/free-software/jpeg2ps/).
Not pretty, but it works.
Good luck,
Jon
Jon Ramsey
===============================
jon.p.ram...@gmail.com
On 23 August 2013 03:32, Chris Beaumont <cbeaum...@cfa.harvard.edu> wrote:
> Thanks for these tips. It looks like some programs (like illustrator, and
> pdf2ps) are semi-smart about handling transparency when converting to ps.
> Both have their quirks (illustrator seems to mess up the bounding box,
> pdf2ps makes the text look worse/fuzzy).
>
> Is this the recommended/best strategy?
>
> Thanks,
> chris
>
>
> On Thu, Aug 22, 2013 at 8:04 PM, Jerzy Karczmarczuk <
> jerzy.karczmarc...@unicaen.fr> wrote:
>
>> Chris Beaumont :
>> >
>> > I have a semitransparent plot that I rather like:
>> ...
>> > I'd like to publish something like this in a journal which requires
>> > EPS figures. Unfortunately, EPS doesn't support transparency.
>> >
>> > How hard would it be to coax matplotlib (or another tool) to convert
>> > this semi-transparent figure into a non-semitransparent figure that
>> > looks the same?
>>
>> I won't claim that this is an ultimate solution, but what I did a few
>> times was to
>> 1. Choose the svg backend, savefig the picture as svg.
>> 2. Open in Inkscape and export as .eps.
>>
>> The result was satisfactory.
>>
>> Jerzy Karczmarczuk
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Introducing Performance Central, a new site from SourceForge and
>> AppDynamics. Performance Central is your source for news, insights,
>> analysis and resources for efficient Application Performance Management.
>> Visit us today!
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=48897511&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>
> ------------------------------------------------------------------------------
> Introducing Performance Central, a new site from SourceForge and
> AppDynamics. Performance Central is your source for news, insights,
> analysis and resources for efficient Application Performance Management.
> Visit us today!
> http://pubads.g.doubleclick.net/gampad/clk?id=48897511&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
------------------------------------------------------------------------------
Introducing Performance Central, a new site from SourceForge and
AppDynamics. Performance Central is your source for news, insights,
analysis and resources for efficient Application Performance Management.
Visit us today!
http://pubads.g.doubleclick.net/gampad/clk?id=48897511&iu=/4140/ostg.clktrk
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
