Robert Kern wrote: > Chris Barker wrote: >> What if your "objects" were nested sequences, and you wanted to partly >> flatten them -- which would you flatten? > > I'm pretty sure that that is exactly the ambiguity that the depth option > resolves. Can you give me an example where it's still ambiguous with the depth > information provided?
I was imagining: Say you have a bunch of nested sequences that, fully expanded, would yield a (i,j,k) rank-3 array. If you wanted a rank-2 array, you could have either: a (i,j) array with each element being a length-k sequence or: a (i,k) array, with each element being a length-j sequence. This is quite trivial with numpy n-d arrays. However, while you could build either of those from nested sequences, there isn't, in fact, and object in there that is that length-j sequence. I guess this really points to the power of n-d arrays! Here's a simple example: t = (((1,2),(3,4)),((5,6),(7,8))) depth 1 -- (4,): array([(1, 2), (3, 4), (5, 6), (7, 8)], dtype=object) >>> a[0] (1, 2) depth 1 -- (2,) >>> a array([(1, 2, 3, 4), (5, 6, 7, 8)], dtype=object) >>> a[0] (1, 2, 3, 4) But since there was no object in the original sequence that actually had a 4-tuple, maybe no one would ever be looking for that. -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 [EMAIL PROTECTED] _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
