Warren Weckesser warren.weckes...@enthought.com 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.
On Wed, Jun 27, 2012 at 2:38 PM, x.pi...@gmail.com 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]:
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.
On Wed, Jun 27, 2012 at 4:38 PM, x.pi...@gmail.com 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
