I frequently find I have my 1d function that performs some reduction that I'd like to apply-along some axis of an n-d array.
As a trivial example, def sum(u): return np.sum (u) In this case the function is probably C/C++ code, but that is irrelevant (I think). Is there a reasonably efficient way to do this within numpy? _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
