numpy.inner() in python

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)

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)

Output:

inner Product : 
 [[18 13]
 [34 37]]

inner Product : 
 [[18 34]
 [13 37]]