I believe that MPL produces vector files. If you want to check by yourself I suggest that you zoom "at will" on an eps file. If you cannot observe rasterization artifacts it should be right.
There is a "rasterized" option that will affect part of a plot but will leave the text and axes vectorized. Pierre Le 21 janv. 10 à 10:58, Matthias Michler a écrit : > Hey Matt, Hello list, > > I'm sorry, I'm not an expert in eps-graphics. For me the final pics > look good > and I have no idea what is different between matplotlib eps-files and > eps-files generated somewhere else. > > Maybe someone has an idea. > > Kind regards, > Matthias > > On Thursday 21 January 2010 10:37:32 Matthew Czesarski wrote: >> Hey Matthias, >> >> Oh, I can make eps files themselves no problem... >> >> In as much as I don't really understand the difference between >> vector and >> raster graphics, I was told to submit 89mm images (I can make them >> 89mm, >> fortunately...), with text that can be resized by the graphics >> department. >> For which I understand it should not be rasterized at all, but the >> fonts, >> sizes, coordinates, etc should be embedded in the postscript. I.e. >> not the >> way MPL produces .eps. Does this sound right to you? >> >> Thanks, >> Matt > > > > ---------------------------------------------------------------------- > -------- > Throughout its 18-year history, RSA Conference consistently > attracts the > world's best and brightest in the field, creating opportunities for > Conference > attendees to learn about information security's most important > issues through > interactions with peers, luminaries and emerging and established > companies. > http://p.sf.net/sfu/rsaconf-dev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Throughout its 18-year history, RSA Conference consistently attracts the world's best and brightest in the field, creating opportunities for Conference attendees to learn about information security's most important issues through interactions with peers, luminaries and emerging and established companies. http://p.sf.net/sfu/rsaconf-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
