From: Greg Novak <novak@uc...>  20040929 01:19:09

In an elaboration of my previous post a few minutes ago about weighted histograms: As I see it I have three options in getting matplotlib to draw weighted histograms: 1) Hack up the source. This is fine but I try not to do it unless I have to. 2) Define my own function that creates the histogram, then pass it to some convenient "Plot this as a histogram" function in matplotlib. 3) Try to "force" matplotlib to do what I want be explicitly modifying its namespace. I do this routinely to add functionality that I consider to be missing from the packages that I use without maintaining a local branch of the source. Here's one example: ############################ # Add some stuff to the scipy namespace import scipy def lrange(l, h, dex): """Logspaced array""" return 10**arange(log10(l), log10(h), dex) scipy.lrange = lrange In this case I would do something like define my_make_hist() and my_draw_hist() to do what I want, and then force them into the matplotlib namespace with: matplotlib.matlab.hist = my_plot_hist matplotlib.mlab.hist = my_make_hist Unfortunately the call to gca() in matplotlib.matlab.hist() seems to prevent this from working the way I want it to. So, option 1 is unpalateable but possible, option 2 is out b/c matplotlib seems to lack such a function, and option 3 is out b/c matplotlib isn't resolving the function references the way I would like. So, I guess the question is does anyone know any neat tricks to get this to work? Thanks a bunch, Greg 