numpy.outer() function compute the outer product of two vectors.
Syntax : numpy.outer(a, b, out = None)
Parameters :
a : [array_like] First input vector. Input is flattened if not already 1-dimensional.
b : [array_like] Second input vector. Input is flattened if not already 1-dimensional.
out : [ndarray, optional] A location where the result is stored.
Return : [ndarray] Returns the outer product of two vectors. out[i, j] = a[i] * b[j]
Code #1 :
Output :
[[-1. 0. 1. 2.]
[-1. 0. 1. 2.]
[-1. 0. 1. 2.]
[-1. 0. 1. 2.]]
Code #2 :
Output :
[[-2. -1. 0. 1. 2.]
[-2. -1. 0. 1. 2.]
[-2. -1. 0. 1. 2.]
[-2. -1. 0. 1. 2.]
[-2. -1. 0. 1. 2.]]