On 22 Oct 2014 14:57, "Daπid" wrote:
>
>
> On 22 October 2014 15:43, Nathaniel Smith wrote:
>>
>> I guess we could make this more consistent by hand if we wanted - isnan
is pretty cheap?
>
>
>
> Can it be made avoiding storing the full bool array? The 1/8 memory
overhead can be problematic for la
On 22 October 2014 15:43, Nathaniel Smith wrote:
> I guess we could make this more consistent by hand if we wanted - isnan is
> pretty cheap?
Can it be made avoiding storing the full bool array? The 1/8 memory
overhead can be problematic for large arrays.
__
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" 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='rais
Julian Taylor googlemail.com> writes:
> What platform are you using?
> whether you get exceptions or not depends on your math library.
>
Windows 7.
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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:
>
>
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-rai
