Am 05.10.2012 11:13, schrieb Matthias BUSSONNIER: > > Le 4 oct. 2012 à 23:09, Juergen Hasch a écrit : > >> 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 > > If anyone have time to make some examples and a right side thumbnail > I can make it as featured notebook in the front page of nbviewer. > > You can even make a direct PR agains nbviewer and I would then just have > to merge and deploy. > > To be fair, notebook should also give some explanation of the code, > link to this discussion, maybe show one "original" xkcd graph. > > Please take your time, and if there is several submission, > we'll sort out how to choose the best(s). > I automated things a little more, and learned a few things about matplotlib on the way. Here is the result: http://nbviewer.ipython.org/3847459/
With xkcd-style.py here: https://gist.github.com/3874297 ------------------------------------------------------------------------------ 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
