On Tue, Dec 4, 2012 at 8:57 AM, Sebastian Berg
sebast...@sipsolutions.netwrote:
Hey,
Maybe someone has an opinion about this (since in fact it is new
behavior, so it is undefined). `np.take` used to not allow 0-d/scalar
input but did allow any other dimensions for the indices. Thinking about
changing this, meaning that:
np.take(np.arange(5), 0)
works. I was wondering if anyone has feelings about whether this should
return a scalar or a 0-d array. Typically numpy prefers scalars for
these cases (indexing would return a scalar too) for good reasons, so I
guess that is correct. But since I noticed this wondering if maybe it
returns a 0-d array, I thought I would ask here.
Regards,
Sebastian
At first, I was thinking that the output type should be based on what the
input type is. So, if a scalar index was used, then a scalar value should
be returned. But this wouldn't be true if the array had other dimensions.
So, perhaps it should always be an array. The only other option is to
mimic the behavior of the array indexing, which wouldn't be a bad choice.
Cheers!
Ben Root
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
