On Thu, May 22, 2014 at 4:57 AM, Dinesh Vadhia <dineshbvad...@hotmail.com>wrote:
> In a 64-bit environment, is it possible to universally set the dtype to > 32-bit for all ints, floats etc. to avoid setting the dtype individually > for each array object and calculations? > huh? there is no 32 bit for all ints, floats, etc... numpy has defaults for various array constructors. Most of them default to either double for a floating point type, or an integer that matches the python standard integer. On 64 bit python on *nix of OS-X, I think this means you'll get a 64 bit integer by default, from, for example: np.arange(4) I don't think the default float types depend on the bit-depth of the python you are running with. I don't think you can change any of those defaults. -Chris > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- 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
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