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 off-list 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 uniform-looking 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)))
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