To explain:
A has shape (2,1), meaning it's a 2-D array with 2 rows and 1 column.
The transpose of A has shape (1,2): it's a 2-D array with 1 row and 2
columns. That's not the same as what you want, which is an array with
shape (2,): a 1-D array with 2 entries.
When you take A[:,0], you're pullin
You can also do:
y = x[:,0]
On Mon, Aug 16, 2010 at 11:28 AM, Skipper Seabold wrote:
> On Mon, Aug 16, 2010 at 2:25 PM, gerardob wrote:
> >
> > I have a numpy array A , such that when i print A it appears:
> >
> > [[ 10.]
> > [ 20.]]
> >
> > I would like to have a one dimensional array B (obta
On Mon, Aug 16, 2010 at 2:25 PM, gerardob wrote:
>
> I have a numpy array A , such that when i print A it appears:
>
> [[ 10.]
> [ 20.]]
>
> I would like to have a one dimensional array B (obtained from A) such that
> B[0] = 10 and B[1]=20. It could be seen as the transpose of A.
>
> How can i ob
I have a numpy array A , such that when i print A it appears:
[[ 10.]
[ 20.]]
I would like to have a one dimensional array B (obtained from A) such that
B[0] = 10 and B[1]=20. It could be seen as the transpose of A.
How can i obtain B = [10,20] from A? I tried transpose(1,0) but it doesn't
se
