Compute the inner product of vectors for 1-D arrays using NumPy in Python
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 libraryimport numpy as np # Creating two 1-D arraysarray1 = np.array([6,2])array2 = np.array([2,5]) print("Original 1-D arrays:")print(array1)print(array2) # Outputprint("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 libraryimport numpy as np # Creating two 1-D arraysarray1 = np.array([1,3,5])array2 = np.array([0,1,5]) print("Original 1-D arrays:")print(array1)print(array2) # Outputprint("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 libraryimport numpy as np # Creating two 1-D arraysarray1 = np.array([1,2,2,8])array2 = np.array([2,1,0,6]) print("Original 1-D arrays:")print(array1)print(array2) # Outputprint("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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