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? No definitely not but up to now I always killed the process (after more than 10 minutes). I tried the script again and it worked... I have to check the original on monday at work. > > Perhaps this is just a toy example to test griddata, but I assume you > realize that you wouldn't normally use griddata to interpolate data on > one regular grid to another regular grid. griddata is strictly for > interpolating scatter data (not on a regular mesh) to a regular mesh. Yes I do, but the supporting points of the second example are not on a regular grid.
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