On Mon, Apr 16, 2012 at 7:46 PM, Travis Oliphant <tra...@continuum.io> wrote: > As Chuck points out, 3 more pointers is not necessarily that big of a deal if > you are talking about a large array (though for small arrays it could matter).
yup -- for the most part, numpy arrays are best for workign with large data sets, in which case a little bit bigger core object doesn't matter. But there are many times that we do want to work with small arrays (particularly ones that are pulled out of a larger array -- iterating over an array or (x,y) points or the like) However, numpy overhead is already pretty heavy for such use, so it may not matter. I recall discossion a couple times in the past of having some special-case numpy arrays for the simple, small cases -- perhaps 1-d or 2-d C-contiguous only, for instance. That might be a better way to address the small-array performance issue, and free us of concerns about minor growth to the core ndarray object. -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
