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Compute the inner product of vectors for 1-D arrays using NumPy in Python

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  • Last Updated : 29 Aug, 2020
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Python has a popular package called NumPy which used to perform complex calculations on 1-D and multi-dimensional arrays. To find the inner product of two arrays, we can use the inner() function of the NumPy package.

Syntax: numpy.inner(array1, array2)

Parameters: 

array1, array2: arrays to be evaluated

Returns: Inner Product of two arrays

Example 1:

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("Inner Product of the two array is:")
result = np.inner(array1, array2)
print(result)

Output:

Original 1-D arrays:
[6 2]
[2 5]
Inner Product of the two array is:
22

Example 2:

Python3




# Importing library
import numpy as np
  
# Creating two 1-D arrays
array1 = np.array([1,3,5])
array2 = np.array([0,1,5])
  
print("Original 1-D arrays:")
print(array1)
print(array2)
  
# Output
print("Inner Product of the two array is:")
result = np.inner(array1, array2)
print(result)

Output:

Original 1-D arrays:
[1 3 5]
[0 1 5]
Inner Product of the two array is:
28

Example 3:

Python3




# Importing library
import numpy as np
  
# Creating two 1-D arrays
array1 = np.array([1,2,2,8])
array2 = np.array([2,1,0,6])
  
print("Original 1-D arrays:")
print(array1)
print(array2)
  
# Output
print("Inner Product of the two array is:")
result = np.inner(array1, array2)
print(result)

Output:

Original 1-D arrays:
[1 2 2 8]
[2 1 0 6]
Inner Product of the two array is:
52

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