> 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, I'm amazed -- thanks a lot :) Andreas. ------------------------------------------------------------------------------ Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
