Ruben Salvador wrote: > Anyway, this 'deepcopy' really surprised me. I have now looked for it > and I think I get an idea of it, though I wouldn't expect this > difference in behavior to happen. From "my logical" point of view a copy > is a copy, and if I find a method called copy() I can only expect it > to...copy (whether I am copying compound or "simple" objects!!).
I think this also highlights an advantage of numpy - a 2-d array is a 2-d array, NOT a 1-d array of 1-d arrays. When you used lists, you were using a list-of-lists, so copying copied the main list, but only referenced the interval lists. One other note: if you do a complex computation with floats, then reverse it, and get back EXACTLY the same numbers, you can be pretty sure something is wrong! -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
