[Python] convert itertools array into numpy array

I'm creating this array:

A=itertools.combinations(range(6),2)


and I have to manipulate this array with numpy, like:

A.reshape(..


If the dimensions is A is high, the command list(A) is too slow.

How can I "convert" an itertools array into a numpy array?


Update 1: I've tried the solution of hpaulj, in this specific situation is a little bit slower, any idea?

start=time.clock()

A=it.combinations(range(495),3)
A=np.array(list(A))
print A

stop=time.clock()
print stop-start
start=time.clock()

A=np.fromiter(it.chain(*it.combinations(range(495),3)),dtype=int).reshape (-1,3)
print A

stop=time.clock()
print stop-start


Results:

[[ 0 1 2]
[ 0 1 3]
[ 0 1 4]
...,
[491 492 494]
[491 493 494]
[492 493 494]]
10.323822
[[ 0 1 2]
[ 0 1 3]
[ 0 1 4]
...,
[491 492 494]
[491 493 494]
[492 493 494]]
12.289898

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