Hey guys, thanks for your answers. Nicolas, your showcase seems to be exactly what I'm after. To make this a little more user-friendly it would be nice to create ones own line style from this so that it can be easily incorporated in the plotting command, i.e. ax.plot( .... , linestyle=myFancyLine) .
Anyway thanks a lot for pointing out that this can be done in matplotlib already. Benjamin On Mon, Jul 16, 2012 at 2:12 PM, Nicolas Rougier <nicolas.roug...@inria.fr> wrote: > > > Here is a quick example that might help you: > > http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-10-large.png > http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-10.py > > > > Nicolas > > > On Jul 16, 2012, at 11:27 , Daπid wrote: > >> On Mon, Jul 16, 2012 at 11:09 AM, Benjamin Jonen <bjo...@gmail.com> wrote: >>> 2) The coloring and the way the lines curve around looks very nice to >>> me. I remember that the Excel charts did not have this nice look >>> before Excel 2007. Can I achieve similar effects with matplotlib? I'm >>> not really sure what creates this nice look, so this question is of >>> course a little fuzzy. >> >> Maybe you are thinking about the smoothness of the curves. Even you >> have spaced points, they don't do sharp edges. In my opinion, for >> scientific research, they shouldn't be concealed in the general case, >> and this is, I think, the main target of MPL. >> >> Nevertheless, if in your case it makes sense and you want them to be >> smooth, you can do it through SciPy, applying a interpolation scheme. >> >> tck=scipy.interpolate(datax, datay) >> datax_n=np.arange(datax.min(), datax.max(), len(datax)*20) >> datay_n=sicpy.interpolate(splev(datax_n,tck,der=0) >> >> And then you plot datax_n and datay_n. >> >> http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html#spline-interpolation-in-1-d-procedural-interpolate-splxxx >> >> ------------------------------------------------------------------------------ >> Live Security Virtual Conference >> Exclusive live event will cover all the ways today's security and >> threat landscape has changed and how IT managers can respond. Discussions >> will include endpoint security, mobile security and the latest in malware >> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
