[Matplotlib-users] How to use logarithmic scale with histogram?

[<mik...@gm...>]

Hi!
I'm trying to generate some kind of "distribution" view / histogram
of decimal numbers, i.e. i want the graph to indicate exactly how many times
any given decimal number occurs in "x". As an example, i've set the values
to tuple "x" as seen in the code snipplet below. In reality there will be at
least couple of thousand decimal values or more in the tuple (x in this
example) and values will be retrieved from file etc. This code does seem to
draw some kind of histogram but it would be much more usefull to have at
least the y-scale as logarithmic. But I haven't found a way to make the
scale logarithmic. I've tried to use semilogy/semilogx/loglog but with no
success.

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x=0.000925,0.000879,0.000926,0.00088,0.001016,0.000931,0.000927,0.00088,
0.000926,0.000926,0.000879,0.0009
n, bins, patches = hist(x, 1000)
l = plot(bins, n, 'r--')
grid(True)
show()
----------------

regards, Mika