Hey all,
I thought I'd throw out that a tool I'm working on, Plotly <http://plot.ly>,
also does box plots with the option to show jittered points. Instead of
passing in stats you pass in an array of values.
Here is a notebook with the box plots with jitter:
nbviewer.ipython.org/gist/fperez/8930306.
You can also view the mean of the array (the dashed line), +/- 1.5 standard
deviations around the median, and the outliers of the set (the hollow
points): https://plot.ly/~ChrisPP/49.
More generally, we're hoping to soon let folks convert matplotlib scripts
into a Plotly graph (GitHub
Issue<https://github.com/plotly/python-api/issues/3>).
We'd love your advice and thoughts.
Thanks a bunch,
M
On Sun, Feb 16, 2014 at 9:39 PM, Yaroslav Halchenko <s...@onerussian.com>wrote:
> On Sat, 15 Feb 2014, Thomas A Caswell wrote:
> > As a side note, adding jitter has been discussed before
> > (https://github.com/matplotlib/matplotlib/issues/2750) in a slightly
> > different context and the consensus was to _not_ add it to mpl (as it
> > is a non-deterministic data transformation).
>
> interesting discussion -- thanks for pointing it out Tom
>
> well -- for scatter plot it does make sense to demand jittering
> "outside". For boxplot -- nope. x-axis (in standard vertical
> boxplots) doesn't represent informative dimension anyways, besides
> "groupping" and jitter imho would be only for visualization purpose.
> Also any non-deterministic jitter could be made deterministic and
> reproducible by seeding. Since, once again, here randomization would be
> added only for visualization purpose, it could e.g. always be produced
> by the rng state seeded with 0 ;-)
>
> --
> Yaroslav O. Halchenko, Ph.D.
> http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org
> Senior Research Associate, Psychological and Brain Sciences Dept.
> Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
> Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419
> WWW: http://www.linkedin.com/in/yarik
>
>
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