There is numpy.histogram, which will give you the histogram without the plots.
But I have had little trouble using hist on log-log plots:
Try this (in ipython -pylab or with ">>> from pylab import *; import numpy"):
>>> x = numpy.random.lognormal(size=1e4)
>>> bins = logspace(-1.5, 1.5, 100)
>>> hist(x, histtype='step', bins=bins)
>>> xscale('log')
>>> yscale('log')
>>> show()
-Roban
On Wed, Nov 17, 2010 at 2:23 PM, Davide Fiocco <davide.fio...@gmail.com> wrote:
> Hi folks,
>
> I want to bin sevaral arrays of data and superimpose them in a single plot.
> The simplest approach is to fire several times
>> hist(data_i, N)
>
> My problem is that I want to make a loglog plot (i.e. putting a
> logscale on the X axis too, something that hist doesn't allow me to
> do).
>
> So what I've done so far is extracting the bin coordinates from
> hist(data_i, N)[1], extract histogram values using hist(data_i, N)[0]
> and then a loglog plot them one against each other.
>
> The point is that I have to invoke at least once the command
> hist(data_i, N) in order to do so, and this draws patches on my figure
> which I don't want to appear on my final plot.
>
> How do I delete the histogram bars? In other words, how to I delete an
> entire histogram from my plot?
>
> Other suggestions to have this sort of "loglog histogram" in a few
> lines of code are more than welcome, of course.
>
> Cheers,
>
> Davide
>
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--
Roban Hultman Kramer | Zwicky Fellow | Institute for Astronomy
ETH Zürich (Swiss Federal Institute of Technology)
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