I guess we could make this more consistent by hand if we wanted - isnan is pretty cheap? On 22 Oct 2014 07:44, "Julian Taylor" <[email protected]> wrote:
> On 22.10.2014 05:52, Daniel Hyams wrote: > > > > I would have thought that this snippet would raise an exception: > > > > import numpy > > numpy.seterr(all='raise') > > a = numpy.array([1.0,0.0,-1.0]) > > b = numpy.log(a) > > > > I get as a result (in b): [0, -Inf, NaN] > > > > It's basically the same issue as: > > > > http://numpy-discussion.10968.n7.nabble.com/numpy-log-does-not-raise- > > exceptions-td5854.html > > > > Except that I have explicitly set the error flags to raise exceptions. > It > > works fine for sqrt(), but not for log(). I've checked numpy 1.4.0 and > > 1.7.1 and both have the same behavior. > > > > Is there a way to force the log (and log10) function to raise an > exception > > on invalid input? > > > > What platform are you using? > whether you get exceptions or not depends on your math library. > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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