numpy.inner(arr1, arr2)
: Computes the inner product of two arrays.
Parameters : arr1, arr2 : array to be evaluated. Return: Inner product of the two arrays.
Code #1 :
# Python Program illustrating # numpy.inner() method import numpy as geek
# Scalars product = geek.inner( 5 , 4 )
print ( "inner Product of scalar values : " , product)
# 1D array vector_a = 2 + 3j
vector_b = 4 + 5j
product = geek.inner(vector_a, vector_b)
print ( "inner Product : " , product)
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Output:
inner Product of scalar values : 20 inner Product : (-7+22j)
Code #2 : As normal matrix multiplication
# Python Program illustrating # numpy.inner() method import numpy as geek
# 1D array vector_a = geek.array([[ 1 , 4 ], [ 5 , 6 ]])
vector_b = geek.array([[ 2 , 4 ], [ 5 , 2 ]])
product = geek.inner(vector_a, vector_b)
print ( "inner Product : \n" , product)
product = geek.inner(vector_b, vector_a)
print ( "\ninner Product : \n" , product)
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Output:
inner Product : [[18 13] [34 37]] inner Product : [[18 34] [13 37]]