Re: [matplotlib-devel] is R wrong? (boxplot)

2014-02-19 Thread Matt Sundquist
Hey all,

I thought I'd throw out that a tool I'm working on, Plotly ,
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).
We'd love your advice and thoughts.

Thanks a bunch,
M



On Sun, Feb 16, 2014 at 9:39 PM, Yaroslav Halchenko 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 ;-)
>
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Re: [matplotlib-devel] Add labels to points to aid data exploration

2014-03-02 Thread Matt Sundquist
Hey Raphael,

Jake Vanderplas has been working on mpld3 , which
lets you create D3 renderings of matplotlib graphs. We (Plotly)
are working with him on a matplotlib
exporterthat lets you make
interactive, online, labels/text on the hover Plotly
graphs with matplotlib. Here is an IPython Notebook showing how to do that:

http://nbviewer.ipython.org/github/theengineear/mplexporter/blob/master/notebooks/PlotlyTest.ipynb?create=1

We're early on still, and Jake is definitely the driving force/mastermind
behind the project. We're hoping to support more and more plotting from
matplotlib and would love help, tips, feedback, and suggestions. We're
happy to talk more if you'd like.

Thanks a bunch,
M


On Sun, Mar 2, 2014 at 12:17 PM, Raphael C  wrote:

> I posted this to https://github.com/matplotlib/matplotlib/issues/2856
> but it was suggested that the mailing list was a better place.
>
> I am plotting a simple graph with many points. I would like to explore
> the data by clicking on some of them to see what their labels are
> (much as I can already in R). I don't want to see all the labels at
> once. Currently the only solution I found was mpldatacursor. Is this
> feature something interesting to matplotlib developers or even being
> currently worked on?
>
> Raphael
>
>
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