|
From: Michael D. <md...@st...> - 2012-10-05 00:18:45
|
I've put up a PR adding this "sketchy" line drawing as a path filter. This makes it work with almost anything that matplotlib draws. https://github.com/matplotlib/matplotlib/pull/1329 Mike On 10/04/2012 06:06 PM, Fernando Perez wrote: > 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 > ------------------------------------------------------------------------------ > 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 |