Hi, I wrote a script to generate streamline plots using matplotlib a while ago, and this post inspired me to finally clean it up a bit. The code is available at http://web.mit.edu/speth/Public/streamlines.py and you can see an example of its output at http://web.mit.edu/speth/Public/streamlines.png
I'd be happy to have it find a home in matplotlib if it would be useful to other people there. Ray On 02/11/2011 11:10 AM, Gökhan Sever wrote: > Hi, > I see two related requests on: > http://old.nabble.com/matplotlib-to-draw-streamlines--td28008708.html > http://www.mail-archive.com/matplotlib-devel@lists.sourceforge.net/msg07267.html > a request filed on > http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723 > <http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723> > Is there any progress on this plot? Or source guides to implement such > functionality in mpl? > PS: The feature request @ > http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse > <http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse> looks > spammed? Anyone works on clearing these? > > -- > Gökhan > > > > ------------------------------------------------------------------------------ > The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: > Pinpoint memory and threading errors before they happen. > Find and fix more than 250 security defects in the development cycle. > Locate bottlenecks in serial and parallel code that limit performance. > http://p.sf.net/sfu/intel-dev2devfeb > > > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: Pinpoint memory and threading errors before they happen. Find and fix more than 250 security defects in the development cycle. Locate bottlenecks in serial and parallel code that limit performance. http://p.sf.net/sfu/intel-dev2devfeb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
