On Di, 2015-04-07 at 00:49 +0100, Nicholas Devenish wrote:
> With the indexing example from the documentation:
>
> y = np.arange(35).reshape(5,7)
>
> Why does selecting an item from explicitly every row work as I’d expect:
> >>> y[np.array([0,1,2,3,4]),np.array([0,0,0,0,0])]
> array([ 0, 7, 14,
On Mon, Apr 6, 2015 at 4:49 PM, Nicholas Devenish wrote:
> With the indexing example from the documentation:
>
> y = np.arange(35).reshape(5,7)
>
> Why does selecting an item from explicitly every row work as I’d expect:
y[np.array([0,1,2,3,4]),np.array([0,0,0,0,0])]
> array([ 0, 7, 14, 21,
I think the rationale is to allow selection of whole rows / columns. If you
want to choose a single element from each row/column, then, yes, you have to
pass np.arange(...). There is also np.choose function, but not recommended to
use for such cases as far as I understand. I'm not an expert, tho
