Hi Andrea 2008/5/22 Andrea Gavana <[EMAIL PROTECTED]>: >> You clearly have a large dataset, otherwise speed wouldn't have been a >> concern to you. You can do your operation in one pass over the data, >> and I'd suggest you try doing that with Cython or Ctypes. If you need >> an example on how to access data using those methods, let me know. >> >> Of course, it *can* be done using NumPy (maybe not in one pass), but >> thinking in terms of for-loops is sometimes easier, and immediately >> takes you to a highly optimised execution time. > > First of all, thank you for your answer. I know next to nothing about > Cython and very little about Ctypes, but it would be nice to have an > example on how to use them to speed up the operations. Actually, I > don't really know if my dataset is "large", as I work normally with > xCent, yCent and zCent vectors of about 100,000-300,000 elements in > them.
Just to clarify things in my mind: is VTK *that* slow? I find that surprising, since it is written in C or C++. Regards Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
