On Thu, May 22, 2008 at 2:59 PM, Robert Kern <[EMAIL PROTECTED]> wrote: > On Thu, May 22, 2008 at 2:46 PM, Charles R Harris > <[EMAIL PROTECTED]> wrote: >> It also leads to various inconsistencies: >> >> In [1]: float32(array([[1]])) >> Out[1]: array([[ 1.]], dtype=float32) >> >> In [2]: float64(array([[1]])) >> Out[2]: 1.0 > > Okay, so don't do that. Always use x.astype(dtype) or asarray(x, dtype). > > -- > 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 > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
So, should these return an error if the argument is an ndarray object, a list or similar? Otherwise, int, float and string type of arguments would be okay under the assumption that people would like variable precision scalars. Bruce _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
