numpy.inner() in python
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)
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)
inner Product : [[18 13] [34 37]] inner Product : [[18 34] [13 37]]
