Generate array of number pairs from 2 numpy vectors
arrays, combinations, numpy, python
Solution
You can use `itertools.product` for this:
from itertools import product
c = list(product(a, b))
This gives:
c == [(1, 4), (1, 5), (1, 6), (2, 4), (2, 5), (2, 6), (3, 4), (3, 5), (3, 6)]
Problem
Is there an easy way in Numpy to generate an array of number pairs from 2 1D numpy arrays (vectors) without looping? input: ``` a = [1, 2, 3] b = [4, 5, 6] ``` output: ``` c = [(1,4), (1,5), (1,6), (2,4), (3,5), (2,6), (3,4), (3,5), (3,6)] ``` I wondering if there is a function that does something similar to this: ``` c = [] for i in range(len(a)): for j in range(len(b)): c.append((a[i], b[j])) ```