On Tue, Sep 29, 2015 at 11:25 AM, Anne Archibald <archib...@astron.nl> wrote:
> IEEE 754 has signum(NaN)->NaN. So does np.sign on floating-point arrays. > Why should it be different for object arrays? > > Anne > > P.S. If you want exceptions when NaNs appear, that's what np.seterr is > for. -A > I also think NaN should be treated the same way as floating point numbers (whatever that is). Otherwise it is difficult to remember when nan is essentially a float dtype or another dtype. (given that float is the smallest dtype that can hold a nan) Josef > > On Tue, Sep 29, 2015 at 5:18 PM Freddy Rietdijk <freddyrietd...@fridh.nl> > wrote: > >> I wouldn't know of any valid output when applying the sign function to >> NaN. Therefore, I think it is correct to return a ValueError. Furthermore, >> I would prefer such an error over just returning NaN since it helps you >> locating where NaN is generated. >> >> On Tue, Sep 29, 2015 at 5:13 PM, Charles R Harris < >> charlesr.har...@gmail.com> wrote: >> >>> Hi All, >>> >>> Due to a recent commit, Numpy master now raises an error when applying >>> the sign function to an object array containing NaN. Other options may be >>> preferable, returning NaN for instance, so I would like to open the topic >>> for discussion on the list. >>> >>> Thoughts? >>> >>> Chuck >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> https://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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