I'm interested in hearing some strategies for plotting two histograms on the same plot. My goal is
to visualize and compare two distributions which have similar shapes.
My first attempt was to use alpha, but this isn't well support on PS2 output driver (surprising)
and I will be including these in a paper, so having a good print output format like PS2 or PDF is desired.
PDF seems to work ok, but the alpha model doesn't completely satisfy my in areas where the two
plots overlap a good deal.
import pylab, random
d1 = [random.gauss(0, 1) for i in range(100)]
d2 = [random.gauss(1, 1) for i in range(100)]
color = ['r', 'g']
pylab.hist(d1, facecolor='r', edgecolor='black', alpha=0.75)
pylab.hist(d2, facecolor='b', edgecolor='black', alpha=0.75)
What ideas do other people have? My thought was to subdivide the plot into two subplots, and
plot one distribution on top, and the other on the bottom, but this effectively halves my vertical resolution
(I'm already plotting 24 subplots per page).