Sweet!  That should *defiintely* go into the mpl gallery, and honestly
I'd love for it to be cleaned up enough to be usable to style
generically any plot, much like the mathematica code I linked to
earlier does.

It would be a beautiful demonstration of matplotlib's capabilities,
and furthermore, I can imagine it being useful in practice.  If I want
to make a purely 'qualitative' diagram, something in this style
actually looks great and I prefer it to something that looks more like
a 'real data' plot.

Thanks everyone for the enthusiasm with which you took this and ran with it!

Cheers,

f

On Thu, Oct 4, 2012 at 2:39 PM, Damon McDougall
<damon.mcdoug...@gmail.com> wrote:
> On Thu, Oct 4, 2012 at 10:09 PM, Juergen Hasch <pyt...@elbonia.de> wrote:
>> Here is my take on it as an IPython notebook, based on Damon's code:
>> http://nbviewer.ipython.org/3835181/
>>
>> I took the engineering approach and filtered the random function instead of 
>> doing some fft/ifft magic.
>> Also, X and Y of the functions are affected now, giving them a more 
>> "natural" look in the slopes.
>>
>>    Juergen
>
> I think I actually prefer your output over mine :)
> Nice job.
>
> --
> Damon McDougall
> http://www.damon-is-a-geek.com
> B2.39
> Mathematics Institute
> University of Warwick
> Coventry
> West Midlands
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> United Kingdom
>
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