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)
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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)
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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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