Skip to content
Related Articles

Related Articles

Compute the outer product of two given vectors using NumPy in Python
  • Last Updated : 29 Aug, 2020
GeeksforGeeks - Summer Carnival Banner

In Python, we can use the outer() function of the NumPy package to find the outer product of two matrices. 

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]

Example 1: Outer Product of 1-D array

Python3




# Importing library
import numpy as np
  
# Creating two 1-D arrays
array1 = np.array([6,2])
array2 = np.array([2,5])
print("Original 1-D arrays:")
print(array1)
print(array2)
  
# Output
print("Outer Product of the two array is:")
result = np.outer(array1, array2)
print(result)

Output:

Original 1-D arrays:
[6 2]
[2 5]
Outer Product of the two array is:
[[12 30]
 [ 4 10]]

Example 2: Outer Product of 2X2 matrix

Python3




# Importing library
import numpy as np
  
# Creating two 2-D matrix
matrix1 = np.array([[1, 3], [2, 6]])
matrix2 = np.array([[0, 1], [1, 9]])
print("Original 2-D matrix:")
print(matrix1)
print(matrix2)
  
# Output
print("Outer Product of the two matrix is:")
result = np.outer(matrix1, matrix2)
print(result)

Output:

Original 2-D matrix:
[[1 3]
 [2 6]]
[[0 1]
 [1 9]]
Outer Product of the two matrix is:
[[ 0  1  1  9]
 [ 0  3  3 27]
 [ 0  2  2 18]
 [ 0  6  6 54]]

Example 3: Outer Product of 3X3 matrix

Python3




# Importing library
import numpy as np
  
# Creating two 3-D matrix
matrix1 = np.array([[2, 8, 2], [3, 4, 8], [0, 2, 1]])
matrix2 = np.array([[2, 1, 1], [0, 1, 0], [2, 3, 0]])
print("Original 3-D matrix:")
print(matrix1)
print(matrix2)
  
# Output
print("Outer Product of the two matrix is:")
result = np.outer(matrix1, matrix2)
print(result)

Output:

Original 3-D matrix:
[[2 8 2]
 [3 4 8]
 [0 2 1]]
[[2 1 1]
 [0 1 0]
 [2 3 0]]
Outer Product of the two matrix is:
[[ 4  2  2  0  2  0  4  6  0]
 [16  8  8  0  8  0 16 24  0]
 [ 4  2  2  0  2  0  4  6  0]
 [ 6  3  3  0  3  0  6  9  0]
 [ 8  4  4  0  4  0  8 12  0]
 [16  8  8  0  8  0 16 24  0]
 [ 0  0  0  0  0  0  0  0  0]
 [ 4  2  2  0  2  0  4  6  0]
 [ 2  1  1  0  1  0  2  3  0]]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :