For what it's worth. While the RGB system is native to monitor devices, since they produce light of certain colours, CMYK is the colour system of printer materials etc. since they absorb the colours, but reflect those we see. That means designs must be made in CMYK for pronter materials and in RGB for our devices. The response of each medium or device is different. RGB will have part of the colour space not accessible in some devices, while in printed materials it is different again. The basic thing is colour space, while RGB and CMYK can be seen as a map. In the real world you have to look at the product to see if the colours come out right.
Not sure what to make of any implementation of this, but a simple mapping should not be impossible. Cheers, Paul On Wed, Jan 30, 2013 at 6:38 PM, Eric Firing <efir...@hawaii.edu> wrote: > On 2013/01/30 6:43 AM, Michael Droettboom wrote: >> We don't currently have any support -- and we're still struggling in >> certain areas supporting RGBA consistently across the system. >> >> I think this would take someone writing a MEP (as a preliminary study of >> all of the changes that would be involved) and then shepherding it >> through implementation. > > My somewhat vague recollection is that CMYK is fundamentally > output-device dependent, and therefore it really doesn't make much sense > for a plotting library to support it directly. The conversion from RGBA > should be made by the publisher, knowing what the output device > characteristics are. > > Eric > >> >> Mike >> >> On 01/30/2013 11:10 AM, Ignas Anikevičius wrote: >>> On 29/01/13 03:37:51 -0800, Dieter wrote: >>>> I was wondering if anything changed regarding this within the last 2.5 >>>> years >>>> since the last thread. Is there a way to produce CMYK with matplotlib? >>> Hello everybody, >>> >>> I would be also interested in how to produce CMYK graphics without >>> external fiddling. >>> >>> Cheers, >>> Ignas >>> >>> ------------------------------------------------------------------------------ >>> Everyone hates slow websites. So do we. >>> Make your web apps faster with AppDynamics >>> Download AppDynamics Lite for free today: >>> http://p.sf.net/sfu/appdyn_d2d_jan >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> ------------------------------------------------------------------------------ >> Everyone hates slow websites. So do we. >> Make your web apps faster with AppDynamics >> Download AppDynamics Lite for free today: >> http://p.sf.net/sfu/appdyn_d2d_jan >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_d2d_jan > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- * * * * * * * * http://www.mssl.ucl.ac.uk/~npmk/ * * * * Dr. N.P.M. Kuin (n.k...@ucl.ac.uk) phone +44-(0)1483 (prefix) -204256 (work) -276110 (home) mobile +44(0)7806985366 skype ID: npkuin Mullard Space Science Laboratory – University College London – Holmbury St Mary – Dorking – Surrey RH5 6NT– U.K. ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_jan _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
