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numpy.inner() in python

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  • Last Updated : 28 Nov, 2018
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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]]

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