matplotlib-devel Mailing List for matplotlib

Matplotlib gurus:
I took at stab at the git work flow and incorporated my personal
modifications to the boxplot function. Github's diff can be found
here:
https://github.com/phobson/matplotlib/compare/master...manual_boxplots
In summary, if your data is MxN, you can manually specify medians and
the confidence intervals around the medians using Nx1 and Nx2 arrays,
respectively. Alternatively, you can use lists or tuples and use Nones
if you want to specify those values only for some columns in your MxN
data set. In other words, with an Mx5 data array, you can specify
conf_intervals=[(ci1a,ci2a), (ci1b,ci2b), (ci1c,ci2c), None,
(ci1e,ci2e)]. Within the conf_intervals "array", the CIs can be listed
in any order as I use np.max() and np.min() to pull the upper and
lower values, respectively.
The motivation behind this is that sometimes I need the confidence
levels to be different than 95%, and also that I compute those
confidence intervals with a bootstrapping routine that is more robust
than mpl-compatible one I submitted some time ago.
I hope y'all find this to be a useful contribution. I'm an avid
matplotlib user. It really is a wonderful tool.
Cheers,
paul h

On 12/7/11 10:27 PM, Chris Barker wrote:
> On 12/5/11 9:49 PM, Jason Grout wrote:
>> Has anyone ever worked on a backend that generates javascript code for
>> one of the javascript plotters out there (like jsxgraph or flot)?
>> Alternatively, I suppose we could generate an svg or html5 plot and then
>> accompany it with the javascript code to trace the function, etc.
>
> Someone has worked on a html5 back-end, It was jsut discussed a bit on
> the thread "Using the Agg renderer by itself"
>
> Here's a cut and paste:
>
> On 11/27/11 12:33 PM, Ludwig Schwardt wrote:
> >
> > Ben is referring to mplh5canvas, available at
> > http://code.google.com/p/mplh5canvas/. The main advantage of this
> > approach is interactive zooming of plots within the browser. If this is
> > not important to you, it will probably be faster to generate static PNGs
> > or SVGs.
> >
> > The HTML5 backend should be easy to try out, as it is a pure Python
> > package with no onerous dependencies.
> >
Michael Droettboom played with this a little at the Sage Days in March, 
IIRC, and I seem to think he also whipped up an interactive demo using 
svg plots. Michael, do you remember what your conclusions were?
Thanks,
Jason

On 12/5/11 9:49 PM, Jason Grout wrote:
> Has anyone ever worked on a backend that generates javascript code for
> one of the javascript plotters out there (like jsxgraph or flot)?
> Alternatively, I suppose we could generate an svg or html5 plot and then
> accompany it with the javascript code to trace the function, etc.
Someone has worked on a html5 back-end, It was jsut discussed a bit on 
the thread "Using the Agg renderer by itself"
Here's a cut and paste:
On 11/27/11 12:33 PM, Ludwig Schwardt wrote:
 >
 > Ben is referring to mplh5canvas, available at
 > http://code.google.com/p/mplh5canvas/. The main advantage of this
 > approach is interactive zooming of plots within the browser. If this is
 > not important to you, it will probably be faster to generate static PNGs
 > or SVGs.
 >
 > The HTML5 backend should be easy to try out, as it is a pure Python
 > package with no onerous dependencies.
 >
-Chris
-- 
Christopher Barker, Ph.D.
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