reckoner wrote: > How can I have a float64 dtype on a 32-bit machine? For example:
float64 is known as "double" in C, just for this reason. Modern FPUs use 64 bit (actually more bits), so you can get very good performance with float64 on 32 bit machines. And it is the standard Python float as well. -Chris > > In [90]: x = array([1/3],dtype=float32) > > In [91]: x > Out[91]: array([ 0.33333334], dtype=float32) > > In [92]: x = array([1/3],dtype=float64) > > In [93]: x > Out[93]: array([ 0.33333333]) > > Obviously, the float32 and float64 representations of 1/3 are different, > but what is the meaning of float64 on a 32-bit machine? Shouldn't a > 32-bit machine only be able represent float32? > > Thanks! > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > 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 [email protected] _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
