I think that what you want can be achieved more simply than contouring.  I've 
attached a quick example of how I would do this.  I'm assuming that the data 
has the same form as pcolormesh, i.e, the z values are measured at grid centers 
but we have coordinate of the edges.  This means that we can easily check if a 
given pixel is above or below the contour level and then we simply draw the 
appropriate gridlines.  I'm not coalescing neighboring lines, but that's also 
possible. 

If you're looking for something more complex than this simple in-or-out 
partitioning, this approach might still work but I'm not sure, in that case, 
that I understand what you're actually trying to do. 

-Eric

p.s. two loops aren't necessary, really.

<<attachment: lattice_cntr_demo.png>>

Attachment: lattice_cntr_demo.py
Description: lattice_cntr_demo.py

------------------------------------------------------------------------------
Keep Your Developer Skills Current with LearnDevNow!
The most comprehensive online learning library for Microsoft developers
is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3,
Metro Style Apps, more. Free future releases when you subscribe now!
http://p.sf.net/sfu/learndevnow-d2d
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to