On Wed, Jan 13, 2010 at 10:32 AM, Gökhan Sever <gokhanse...@gmail.com>wrote:
> > > On Wed, Jan 13, 2010 at 10:08 AM, Jae-Joon Lee <lee.j.j...@gmail.com>wrote: > >> On Tue, Jan 12, 2010 at 9:56 PM, Gökhan Sever <gokhanse...@gmail.com> >> wrote: >> > What could be causing this discrepancy? Is there any way to use an >> > alternative PS creator with MPL? or an option to increase e.g. bits per >> > pixel option somewhere in the configuration? >> > >> >> There can be a lot of things. However, you cannot just say one is >> better than the other based on how it looks on your monitor screen. >> As far as I can tell, postscript is best for printing, but not very >> optimal for your monitor screen. >> > > I printed the PNG and PS file. The result looks same on paper as well. I > was comparing the two ps file one from IDL one from MPL. IDL looks neat both > on the screen and printed. > > >> >> While matplotlib with the xpdf distiller could be better than >> ghostsrcipt one in this regard, but, again, postscipt on your monitor >> screen does not make much sense, at least to me. >> >> -JJ >> > > OK, here is one more comparison. > > I use xpdf distiller, and set the pdf comparison to 0 in the rc file. > > http://ccnworks.googlecode.com/svn/trunk/test.png > http://ccnworks.googlecode.com/svn/trunk/test.ps > http://ccnworks.googlecode.com/svn/trunk/test.eps > http://ccnworks.googlecode.com/svn/trunk/test.pdf > > PS and EPS outputs are almost alike to my eye. Setting ps.distiller.res to > 6000 DPI doesn't make a difference either. PDF backend produces the highest > quality output. However the problem with that I can't include pdf images on > a regular OpenOffice document :( > > With xpdf the line is plotted blue correctly as it is seen on my screen. > Before it was drawing a red-line. > > -- > Gökhan > It seems like ps.distiller.res parameter doesn't have an effect on the output ps file. I set this to 60 and 6000 and 60000 it all produces same sized same looking figures. Any ideas? -- Gökhan
------------------------------------------------------------------------------ This SF.Net email is sponsored by the Verizon Developer Community Take advantage of Verizon's best-in-class app development support A streamlined, 14 day to market process makes app distribution fast and easy Join now and get one step closer to millions of Verizon customers http://p.sf.net/sfu/verizon-dev2dev
_______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
