numpy.outer() function – Python

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 :

# Python program explaining
# numpy.outer() function

# importing numpy as geek
import numpy as geek

a = geek.ones(4)
b = geek.linspace(-1, 2, 4)

gfg = geek.outer(a, b)

print (gfg)

Output :

[[-1.  0.  1.  2.]
 [-1.  0.  1.  2.]
 [-1.  0.  1.  2.]
 [-1.  0.  1.  2.]]

Code #2 :

# Python program explaining
# numpy.outer() function

# importing numpy as geek
import numpy as geek

a = geek.ones(5)
b = geek.linspace(-2, 2, 5)

gfg = geek.outer(a, b)

print (gfg)

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.]]