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 > 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 > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
