On Wed, May 2, 2012 at 6:25 PM, Travis Oliphant <[email protected]> wrote: > The only new principle (which is not strictly new --- but new to NumPy's > world-view) is using one (or more) fields of a structured array as "synthetic > dimensions" which replace 1 or more of the raw table dimensions.
Ah, thanks--that's the detail I was missing. I wonder if the contiguity requirement will hamper us here, though. E.g., I could imagine that some tree structure might be more suitable to storing and organizing indices, and for large arrays we wouldn't like to make a copy for each operation. I guess we can't wait for discontiguous arrays to come along, though :) > More to come.... If you are interested in this sort of thing please let me > know.... Definitely--if we can optimize this machinery it will be beneficial to scipy.sparse as well. Stéfan _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
