Hi all, I have the following problem:
Given a array with dimension Nx3, where N is generally greater than 1.000.000, for each item in this array I have to calculate its density, Where its density is the number of items from the same array with distance less than a given r. The items are the rows from the array. I was not able to think a solution to this using one or two functions of Numpy. Then I wrote this code http://pastebin.com/iQV0bMNy . The problem it so slow. So I tried to implement it in Cython, here the result http://pastebin.com/zTywzjyM , but it is very slow yet. Is there a better and faster way of doing that? Is there something in my Cython implementation I can do to perform better? Thanks! _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
