2007/10/16, Timothy Hochberg [EMAIL PROTECTED]:
You might try tensordot. Without thinking it through too much:
numpy.tensordot(a0, a1, axes=[-1,-1])
seems to do what you want.
Thank you.
However, it works only for this simple example, where a0 and a1 are similar.
The tensor product
what I'm searching for is :
In [18]: dotprod2(a,b)
Out[18]: array([ 0.28354876, 0.54474092, 0.22986942, 0.42822669,
0.98179793])
where I defined a classical (in the way I understand it. I may not
understand it properly ?) dot product between these 2 vectors.
def dotprod2(a,b):
Hello,
First of all, I'm sorry if this question had already been asked. I've
searched on the gmane archive and elsewhere on internet, but I didn't found
the answer to my question.
As expected, the dot product of 2 'classical' vectors works fine :
In [50]: a0 = numpy.array([1,2,3])
In [51]:
On 10/17/07, Julien Hillairet [EMAIL PROTECTED] wrote:
Hello,
First of all, I'm sorry if this question had already been asked. I've
searched on the gmane archive and elsewhere on internet, but I didn't found
the answer to my question.
As expected, the dot product of 2 'classical' vectors
On 10/16/07, Julien Hillairet [EMAIL PROTECTED] wrote:
Hello,
First of all, I'm sorry if this question had already been asked. I've
searched on the gmane archive and elsewhere on internet, but I didn't found
the answer to my question.
As expected, the dot product of 2 'classical' vectors
Julien Hillairet wrote:
Hello,
First of all, I'm sorry if this question had already been asked. I've
searched on the gmane archive and elsewhere on internet, but I didn't
found the answer to my question.
As expected, the dot product of 2 'classical' vectors works fine :
In [50]: a0 =
2007/10/16, Bill Baxter [EMAIL PROTECTED]:
dot() also serves as Numpy's matrix multiply function. So it's trying
to interpret that as a (3,N) matrix times a (3,N) matrix.
See examples here:
http://www.scipy.org/Numpy_Example_List_With_Doc#head-2a810f7dccd3f7c700d1076f15078ad1fe3c6d0d
On 10/16/07, Julien Hillairet [EMAIL PROTECTED] wrote:
2007/10/16, Bill Baxter [EMAIL PROTECTED]:
dot() also serves as Numpy's matrix multiply function. So it's trying
to interpret that as a (3,N) matrix times a (3,N) matrix.
See examples here:
