From: James McDermott <jamesmichaelmcdermott@gm...>  20070312 17:16:16

Hi again, [replying to himself as if it were going out of fashion... when it's already deeply unfashionable] On 3/12/07, I wrote: > > I wonder if there is a way to change the base used to calculate the > > logarithmic mapping for graph.axis.logarithmic? > > By the way, I've looked at examples/axis/log.py, and I don't think > that's the solution It was pointed out to me offlist that my mapping isn't going to yield a distribution with logarithmic probability density, therefore my attempts to use the custom parter solution in examples/axis/log.py weren't going to work anyway. Using a more natural mapping function does indeed give nice uniformlooking distributions when graphed using graph.axis.log. Sorry for the noise, James  For the record: # map x from [0, 1] to [minv, maxv] def exp_map2(minv, maxv, x): return math.exp(math.log(minv) + x * (math.log(maxv)  math.log(minv))) 