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