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From: Benjamin R. <ben...@ou...> - 2010-09-17 15:23:14
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On Fri, Sep 17, 2010 at 8:59 AM, Martinho MA <mm...@ua...> wrote: > Hello > > I am trying to calculate the facecolors for the Axes3D.plot_surface > function, to have something similar to matlab surf 4th argument!! > Something like plot_surface(x,y,z,facecolors=calc_colors(v)) > > So, I need to obtain the colors corresponding to the values of v! I > created the function calc_colors: > > > import pylab > import numpy as np > from matplotlib.colors import rgb2hex > > def calc_colors(var): > colors = np.empty(var.shape, dtype='S7') > mm=pylab.cm.ScalarMappable() > mm.set_clim((var.min(),var.max())) > mm.set_cmap(pylab.cm.jet) > colors.flat= [rgb2hex(mm.to_rgba(k)[:-1]) for k in var.flat] > return colors > > > Well I believe this is not the smartest way to calculate the colors !! > At least it is quite slow ! > Can someone give me a better solution for this problem? > > than you > mma > > I might be wrong, but can't mm.to_rgba() take var.flat as an input, thereby giving you an array of colors as output? Also, I don't think it is necessary to call rgb2hex() because matplotlib will just convert that hex back into rgba. I believe you should be able to just return the result of mm.to_rgba(var.flat). I hope that helps, Ben Root |