> Ben, John: Later this week or next, I'll take a crack at adding both of > these to quiver.py and > axes.py (one under the name "streamlines", the other as "streamplot").
This is a great idea. I've had some time to improve the code, and so you have something better to work with! If you have any questions or need the code modifying, I'm happy to help - should have free time at the weekend and next week. I've also added density in both directions (nice idea - hadn't thought about this) and variable color as well as width. The new code is at http://www.atm.damtp.cam.ac.uk/people/tjf37/streamplot.py and there are new sample plots at http://www.atm.damtp.cam.ac.uk/people/tjf37/streamlines1.png and http://www.atm.damtp.cam.ac.uk/people/tjf37/streamlines2.png . > You probably want to use a compound path (one object for the entire > plot). See the tutorial athttp://matplotlib.sourceforge.net/users/path_tutorial.html, in > particular the compound path for the histogram example near the end, > and let me know if you have any questions. John, thanks for the hints. In the end I used a LineCollection for each streamline because I didn't see how to set different properties (colour and width) for different portions of the line in the compound path. LineCollection performs well enough for this plot so I'm happy with this solution. Tom ------------------------------------------------------------------------------ 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
