On 8/20/07, Geoffrey Zhu <[EMAIL PROTECTED]> wrote:
>
> Hi Everyone,
>
> I am wondering if there is an "extended" outer product. Take the
> example in "Guide to Numpy." Instead of doing an multiplication, I
> want to call a custom function for each pair.
>
> >>> print outer([1,2,3],[10,100,1000])
>
> [[ 10 100 1000]
> [ 20 200 2000]
> [ 30 300 3000]]
>
>
> So I want:
>
> [
> [f(1,10), f(1,100), f(1,1000)],
> [f(2,10), f(2, 100), f(2, 1000)],
> [f(3,10), f(3, 100), f(3,1000)]
> ]
Maybe something like
In [15]: f = lambda x,y : x*sin(y)
In [16]: a = array([[f(i,j) for i in range(3)] for j in range(3)])
In [17]: a
Out[17]:
array([[ 0. , 0. , 0. ],
[ 0. , 0.84147098, 1.68294197],
[ 0. , 0.90929743, 1.81859485]])
I don't know if nested list comprehensions are faster than two nested loops,
but at least they avoid array indexing.
Chuck
_______________________________________________
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
