Dear all, I have a set of Voronoi bins, defined by nodes (x,y) and an underlying mesh of squared bins. See an example here of such Voronoi bins.
http://www.google.fr/imgres?q=voronoi+binning&hl=fr&sa=X&biw=1280&bih=665&tbm=isch&prmd=imvnsb&tbnid=zp0RRIktKlF9pM:&imgrefurl=http://www.aanda.org/articles/aa/full/2007/09/aa4621-05/aa4621-05.right.html&docid=CeAk6FN_pZDa5M&imgurl=http://www.aanda.org/articles/aa/full/2007/09/aa4621-05/img26.gif&w=532&h=1087&ei=ZmYiT-Z7xYDyA9ew0acM&zoom=1&iact=rc&dur=164&sig=112304340793152029504&page=4&tbnh=151&tbnw=74&start=63&ndsp=25&ved=1t:429,r:1,s:63&tx=58&ty=65 So basically each node, (x,y) would define a Voronoi bin made of a set of squared pixels. So one node would correspond to for example N squared pixels: node[i] = [(x1,y1),(x2,y2),...(xN,yN)] I want now to create an imshow like plot of these bins by using the four colour theorem, meaning that I would use 4 colours and want adjacent Voronoi bins not to have the same colour. Is there a simple way to do this in matplotlib? I couldn't find much on the web so far. thanks! Eric ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
