Hi folks,
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)
pylab.savefig('test.pdf')
pylab.show()
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).
Thanks,
Dave
-------------------------------------------------------------------------
Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology to make your job easier
Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
