On Fri, Sep 26, 2014, at 14:30, Rob Gaddi wrote: > The "histogram" bin solution that everyone keeps trying to steer you > towards is almost certainly what you really want. Epsilon is your > resolution. You cannot resolve any information below your resolution > limit. Yes, 1.49 and 1.51 wind up in different bins, whereas 1.51 and > 2.49 are in the same one, but that's what it means to have a resolution > of 1; you can't say anything about whether any given count in the "2, > plus or minus a bit" bin is very nearly 1 or very nearly 3.
You could "antialias" the values, though. 1.49 results in a value that is 51% in the "1" bin, and 49% in the "2" bin. count[1] += 0.51, count[2] += 0.49. You could even spread each value across a larger number of smaller bins. -- https://mail.python.org/mailman/listinfo/python-list
