On Fri, Jun 18, 2010 at 09:39, Benjamin Root <[email protected]> wrote:
> Just for my own knowledge, would Robert's suggestion of using '>i2' as the > dtype be considered the "best" solution, mostly because of its simplicity, > but also because it does not assume the endian-ness of the host computer? It does come with the tradeoff that math will be a little bit slower on it. A quick .astype(np.uint16) will fix that. That said, the cost of creating the memory for the new native array will probably wipe away those gains unless if the data is reused a number of times for calculations. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
