[Numpy-discussion] New numpy functions: filled, filled_like
Benjamin Root
ben.root@ou....
Fri Jan 18 10:46:31 CST 2013
On Fri, Jan 18, 2013 at 11:36 AM, Daniele Nicolodi <daniele@grinta.net>wrote:
> On 18/01/2013 15:19, Benjamin Root wrote:
> >
> >
> > On Fri, Jan 18, 2013 at 3:44 AM, Daniele Nicolodi <daniele@grinta.net
> > <mailto:daniele@grinta.net>> wrote:
> >
> > On 17/01/2013 23:27, Mark Wiebe wrote:
> > > Would it be too weird or clumsy to extend the empty and empty_like
> > > functions to do the filling?
> > >
> > > np.empty((10, 10), fill=np.nan)
> > > np.empty_like(my_arr, fill=np.nan)
> >
> > Wouldn't it be more natural to extend the ndarray constructor?
> >
> > np.ndarray((10, 10), fill=np.nan)
> >
> > It looks more natural to me. In this way it is not possible to have
> the
> > _like extension, but I don't see it as a major drawback.
> >
> >
> > Cheers,
> > Daniele
> >
> >
> > This isn't a bad idea. Although, I would wager that most people, like
> > myself, use np.array() and np.array_like() instead of np.ndarray(). We
> > should also double-check and see how well that would fit in with the
> > other contructors like masked arrays and matrix objects.
>
> Hello Ben,
>
> I don't really get what you mean with this. np.array() construct a numpy
> array from an array-like object, np.ndarray() accepts a dimensions tuple
> as first parameter, I don't see any np.array_like in the current numpy
> release.
>
> Cheers,
> Daniele
>
>
My bad, I had a brain-fart and got mixed up. I was thinking of
np.empty(). In fact, I never use np.ndarray(), I use np.empty(). Besides
np.ndarray() being the actual constructor, what is the difference between
them?
Ben Root
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