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Get the Inner product of a One-Dimensional and a Two-Dimensional array in Python
To get the Inner product of two arrays, use the numpy.inner() method in Python. Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes. The parameters are 1 and b, two vectors. If a and b are nonscalar, their last dimensions must match.
Steps
At first, import the required libraries −
import numpy as np
Creating two numpy One-Dimensional array using the array() method −
arr1 = np.arange(2).reshape((1,1,2)) arr2 = np.arange(6).reshape((3,2))
Display the arrays −
print("Array1...\n",arr1)
print("\nArray2...\n",arr2)Check the Dimensions of both the arrays −
print("\nDimensions of Array1...\n",arr1.ndim)
print("\nDimensions of Array2...\n",arr2.ndim)Check the Shape of both the arrays −
print("\nShape of Array1...\n",arr1.shape)
print("\nShape of Array2...\n",arr2.shape)To get the Inner product of two arrays, use the numpy.inner() method −
print("\nResult (Inner Product)...\n",np.inner(arr1, arr2))
Example
import numpy as np
# Creating two numpy One-Dimensional array using the array() method
arr1 = np.arange(2).reshape((1,1,2))
arr2 = np.arange(6).reshape((3,2))
# Display the arrays
print("Array1...\n",arr1)
print("\nArray2...\n",arr2)
# Check the Dimensions of both the arrays
print("\nDimensions of Array1...\n",arr1.ndim)
print("\nDimensions of Array2...\n",arr2.ndim)
# Check the Shape of both the arrays
print("\nShape of Array1...\n",arr1.shape)
print("\nShape of Array2...\n",arr2.shape)
# To get the Inner product of two arrays, use the numpy.inner() method in Python
# Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes.
print("\nResult (Inner Product)...\n",np.inner(arr1, arr2))Output
Array1... [[[0 1]]] Array2... [[0 1] [2 3] [4 5]] Dimensions of Array1... 3 Dimensions of Array2... 2 Shape of Array1... (1, 1, 2) Shape of Array2... (3, 2) Result (Inner Product)... [[[1 3 5]]]
Updated on: 02-Mar-2022
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