On Wed, Jun 27, 2012 at 2:38 PM, wrote:
> How how can I perform matrix multiplication of two vectors?
> (in matlab I do it like a*a')
np.outer is a bit cleaner, I suppose, but you can exactly the same
thing you do with matlab if a is a column (single column 2-d array):
In [40]: a = np.arange(4)
Warren Weckesser writes:
> In [6]: a = array([1, -2, 3])
>
> In [7]: outer(a, a)
> Out[7]:
> array([[ 1, -2, 3],
> [-2, 4, -6],
> [ 3, -6, 9]])
>
> Warren
Thanks,
It is much nicer then my method of adding a zero column.
Petro.
___
Num
On Wed, Jun 27, 2012 at 4:38 PM, wrote:
> Hi list.
> I have got completely cunfused with the numpy.dot() function.
> dot(A,B) does:
> - matrix multiplication if A and B are of MxN and NxK sizey
> - dot product if A and B are of size M
> How how can I perform matrix multiplication of two vectors?
Hi list.
I have got completely cunfused with the numpy.dot() function.
dot(A,B) does:
- matrix multiplication if A and B are of MxN and NxK sizey
- dot product if A and B are of size M
How how can I perform matrix multiplication of two vectors?
(in matlab I do it like a*a')
Thanks.
Petro.
_
