I was not aware of color cycles, but it looks like this is the way to go about solving my problem.
Below is an example that actually works. ---------------------------------- import pylab as P mu, sigma = 200, 25 x0 = mu + sigma*P.randn(10000) x1 = mu + sigma*P.randn(7000) x2 = mu + sigma*P.randn(3000) # Set the color cycle of the axes rather than using a kwarg P.gca().set_color_cycle([(0.5,0.,0.), (0.,0.5,0.), (0.,0.,0.5)]) n, bins, patches = P.hist([x0,x1,x2], 50, normed=1, histtype='bar') P.show() ----------------------------------- ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users