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