Is there a natural way in a numpy array, to aggregate rows that have same 1st column value? i.e. such that:
A = numpy.array([[1, 2], [1, 7], [2, 14], [3, -1], [3, 6]])
#[[ 1 2]
# [ 1 7]
# [ 2 14]
# [ 3 -1]
# [ 3 6]]
would give
[[ 1 9]
[ 2 14]
[ 3 5]
