[Matplotlib-users] weighted histograms

[Greg N. <no...@uc...>]

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):
    """Log-spaced 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