On Mon, Dec 15, 2008 at 18:24, Daran Rife <dr...@ucar.edu> wrote: > How about a solution inspired by recipe 18.1 in the Python Cookbook, > 2nd Ed: > > import numpy as np > > a = [(x0,y0), (x1,y1), ...] > l = a.tolist() > l.sort() > unique = [x for i, x in enumerate(l) if not i or x != b[l-1]] > a_unique = np.asarray(unique) > > Performance of this approach should be highly scalable.
That basic idea is what unique1d() does; however, it uses numpy primitives to keep the heavy lifting in C instead of Python. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
