NumPy - Dot product of two arrays of different dimensions

By IncludeHelp Last updated : December 13, 2023

Problem statement

Write a Python program to compute the dot product of two NumPy arrays of different dimensions.

Prerequisites

To understand the given solution, you should know about the following Python topics:

Dot product of two NumPy arrays of different dimensions

To compute the dot product of two NumPy arrays of different dimensions, use the numpy.dot() method, it accepts two NumPy arrays as its arguments and returns the dot product. This method can compute the products of the arrays with different dimensions.

Below is the syntax of numpy.dot() method:

numpy.dot(a, b, out=None)

Here, arguments a and b are the arrays whose dot product we have to find and out is an optional parameter for output arguments.

Python program to compute dot product of two NumPy arrays of different dimensions

Take two NumPy arrays of different dimensions, compute, and print their dot product.

# Importing numpy library
import numpy as np

# Creating two arrays of different dimensions
arr1 = np.array([[10, 20], [30, 40], [11, 22]])
arr2 = np.array([[22, 33], [11, 12]])

# Printing original arrays
print("arr1 is:\n", arr1)
print("arr2 is:\n", arr2)

# Computing the dot product
dotProduct = np.dot(arr1, arr2)

# Printing the result
print("\nDot product of arr1 and arr2 is:\n")
print(dotProduct)

Output

The output of the above program is:

arr1 is:
 [[10 20]
 [30 40]
 [11 22]]
arr2 is:
 [[22 33]
 [11 12]]

Dot product of arr1 and arr2 is:

[[ 440  570]
 [1100 1470]
 [ 484  627]]

Code Explanation

To use NumPy in the program, we imported numpy module.
Defined two NumPy arrays arr1 and arr2, and then printed the original arrays on the screen.
Then, we used the numpy.dot() method and passed arr1 and arr2 as an argument.
Finally, printed the result on the screen, which will be the dot product of arr1 and arr2.

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