"Fuzzy" Counter?

random832 at fastmail.us random832 at fastmail.us
Fri Sep 26 21:10:43 CEST 2014


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.



More information about the Python-list mailing list