On Fri, Jun 5, 2009 at 3:02 PM, Alan G Isaac <ais...@american.edu> wrote: > I think something close to this would be possible: > add dot as an array method. > A .dot(B) .dot(C) > is not as pretty as > A * B * C > but it is much better than > np.dot(np.dot(A,B),C)
I've noticed that x.sum() is faster than sum(x) >> x = np.array([1,2,3]) >> timeit x.sum() 100000 loops, best of 3: 3.01 µs per loop >> from numpy import sum >> timeit sum(x) 100000 loops, best of 3: 4.84 µs per loop Would the same be true of dot? That is, would x.dot(y) be faster than dot(x,y)? Or is it just that np.sum() has to go through some extra python code before it hits the C code? In general, if I'm trying to speed up an inner loop, I try to replace func(x) with x.func(). But I don't really understand the general principle at work here. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
