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 + 3jvector_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]]
