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From: Fernando P. <fpe...@gm...> - 2012-10-04 22:06:51
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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 <dam...@gm...> wrote: > On Thu, Oct 4, 2012 at 10:09 PM, Juergen Hasch <py...@el...> 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 > CV4 7AL > United Kingdom > > ------------------------------------------------------------------------------ > Don't let slow site performance ruin your business. Deploy New Relic APM > Deploy New Relic app performance management and know exactly > what is happening inside your Ruby, Python, PHP, Java, and .NET app > Try New Relic at no cost today and get our sweet Data Nerd shirt too! > http://p.sf.net/sfu/newrelic-dev2dev > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |