A pull request would be welcome. Note that we already have the symlog
scale
http://matplotlib.org/examples/pylab_examples/symlog_demo.html?highlight=symlog
which is essentially a logscale with a linear fraction in the centre. As I
understand this it is not quite the same but useful for a different purpose

Jens
On Mon, Nov 3, 2014 at 12:04 PM, Pierre Haessig <pierre.haes...@crans.org>
wrote:

> Hi Fabio,
>
> Le 03/11/2014 11:41, Fabio Zanini a écrit :
> > I've been using matplotlib with great satisfaction for a few years, but
> > one feature I've been missing is a "logit" scale. This is essentially a
> > nonlinear scale that is log both towards 0+ and log towards 1-.
>
> Nice coincidence, I was also playing with this idea back in April.
> http://nbviewer.ipython.org/gist/pierre-haessig/7e3e6a818edeb6819708
>
> I was actually wondering whether this could interest other people in
> other fields...
>
> best,
> Pierre
>
> >   It is
> > useful when one has frequencies in a population (i.e. floats between 0
> > and 1) and both rare events and very common ones are interesting.
> >
> > For instance, say you ask about the fraction of people with blue eyes in
> > various world populations, you want to spot even tiny deviations from
> > zero or one.
> >
> > I have coded a scale according to matplotlib's documentation and it
> > works well, so I was wondering whether you are interested into merging
> > it into the the main repository. I think it'd be useful because lots of
> > people have such frequency data, especially now that matplotlib is
> > becoming popular in the biology/social sciences research communities.
> >
> > If there is interest, I'll just start a pull request on github and try
> > to adapt the code to your coding style. It's already PEP8 and similia.
> >
> > Thanks. Cheers,
> > Fabio
> >
> >
>
>
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