On Thu, May 22, 2008 at 2:16 PM, Andrea Gavana <[EMAIL PROTECTED]> wrote: > By the way, about the solution Francesc posted: > > xyzReq = (xCent >= xMin) & (xCent <= xMax) & \ > (yCent >= yMin) & (yCent <= yMax) & \ > (zCent >= zMin) & (zCent <= zMax) >
You could implement this with inplace operations to save memory: xyzReq = (xCent >= xMin) xyzReq &= (xCent <= xMax) xyzReq &= (yCent >= yMin) xyzReq &= (yCent <= yMax) xyzReq &= (zCent >= zMin) xyzReq &= (zCent <= zMax) > Do you think is there any chance that a C extension (or something > similar) could be faster? Or something else using weave? I understand > that this solution is already highly optimized as it uses the power of > numpy with the logic operations in Python, but I was wondering if I > can make it any faster A C implementation would certainly be faster, perhaps 5x faster, due to short-circuiting the AND operations and the fact that you'd only pass over the data once. OTOH I'd be very surprised if this is the slowest part of your application. -- Nathan Bell [EMAIL PROTECTED] http://graphics.cs.uiuc.edu/~wnbell/ _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
