Eric Firing wrote: > Jeff Whitaker wrote: >> Armin Moser wrote: >>> Jeff Whitaker wrote: >>> >>>> Armin Moser wrote: >>>> >>>>> Hi, >>>>> >>>>> I would like to interpolate an array of shape (801,676) to regularily >>>>> spaced datapoints using griddata. This interpolation is quick if the >>>>> (x,y) supporting points are computed as X,Y = meshgrid(x,y). If this >>>>> condition is not fullfilled the delaunay triangulation is extremely >>>>> slow, i.e. not useable. Is this a known property of the used >>>>> triangulation? The triangulation can be performed with matlab without >>>>> any problems. >>>>> >>>>> Armin >>>>> >>>> Armin: You could try installing the natgrid toolkit and see if that >>>> speeds up griddata at all. If not, please post a test script with data >>>> and maybe we can figure out what is going on. >>>> >>> I have already tried natgrid and it didn't improve the situation. As >>> suggested I append a script demonstrating the problem. >>> >>> Thanks >>> Armin >>> >> >> Armin: On my mac, your two benchmarks take 15 and 14 seconds. Do you >> consider that too slow? > > I got 10 s and 8 s on my Thinkpad--but that was without natgrid. When I > installed natgrid, the benchmark was taking so long I killed the window. Thats the behaviour I observed (on Windows and Linux) with and without natgrid. I'm very puzzled at the moment.
Thanks a lot Armin ------------------------------------------------------------------------------ Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise -Strategies to boost innovation and cut costs with open source participation -Receive a $600 discount off the registration fee with the source code: SFAD http://p.sf.net/sfu/XcvMzF8H _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
