Dear all, I made a pull request for this: #3753, at https://github.com/matplotlib/matplotlib/pull/3753 Cheers, Fabio On 11/03/2014 01:30 PM, Fabio Zanini wrote: > @Pierre: Yeah, my code looks 99% the same like yours. I'll make a PR > starting from a mix of both - probably closer to yours than to mine :-P > > @Jens: symlog extends to infinity, logit has a compact range, that's why > it's not exactly the same. > > Ok I'll make a pull request. Shall I start with a test that fails, then > add the function and show it succeeds? or shall I start directly with > the code and add a test later on? > > Cheers, > Fabio > > On 11/03/2014 12:58 PM, Thomas Caswell wrote: >> Please create a pull request. >> >> This sounds reasonable to me, but I have never seen a plot with that >> scale and don't really understand it from your description. Seeing the >> code usually clarifies things. >> >> Tom >> >> On Mon, Nov 3, 2014, 05:58 Fabio Zanini <fab...@tu... >> <mailto:fab...@tu...>> wrote: >> >> Dear all, >> >> 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-. 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 >> >> ------------------------------__------------------------------__------------------ >> _________________________________________________ >> Matplotlib-devel mailing list >> Matplotlib-devel@lists.__sourceforge.net >> <mailto:Mat...@li...> >> https://lists.sourceforge.net/__lists/listinfo/matplotlib-__devel >> <https://lists.sourceforge.net/lists/listinfo/matplotlib-devel> >> >