I want to take a NumPy 2D array which represents a grayscale image, and convert it to an RGB PIL image while applying some of the matplotlib colormaps. I can get a reasonable PNG output by using the pyplot.figure.figimage command: dpi = 100.0 w, h = myarray.shape[1]/dpi, myarray.shape[0]/dpi fig = plt.figure(figsize=(w,h), dpi=dpi) fig.figimage(sub, cmap=cm.gist_earth) plt.savefig('out.png') Although I could adapt this to get what I want (probably using StringIO do get the PIL image), I wonder if there is not a simpler way to do that, since it seems to be a very natural problem of image visualization. Let's say, something like this: colored_PIL_image = magic_function(array, cmap) Continue reading...
