Python Unpack Array Last Updated : 06 Dec, 2024 Summarize Comments Improve Suggest changes Share Like Article Like Report The unpacking techniques you use with lists also apply to python arrays, but with slight differences due to the nature of the array module. In this article, we'll explore how to unpack arrays using the array module in Python, and demonstrate various methods of unpacking.Basic Array UnpackingTo begin with, let's see how we can unpack values from an array using the array module. Python import array arr = array.array('i', [10, 20, 30]) a, b, c = arr print(a) print(b) print(c) Output10 20 30 Explanation:Here, we create an array arr of type 'i', which means it stores integers. The values [10, 20, 30] are packed into this array.We use the unpacking syntax a, b, c = arr to assign the array's values to the variables a, b, and c.The array values are unpacked into the respective variables, similar to list unpacking.Let's explore other methods unpacking an array in python:Unpacking with Asterisk (*) OperatorUsing the * operator for unpacking works similarly with arrays as it does with lists. This allows you to capture multiple values in the middle of an array. Python import array arr = array.array('i', [1, 2, 3, 4, 5]) a, *rest, e = arr print(a) # 1 print(rest) # [2, 3, 4] print(e) # 5 Output1 [2, 3, 4] 5 Explanation:In this example, the arr array contains the values [1, 2, 3, 4, 5].a gets the first element (1), and e gets the last element (5).The *rest captures the middle elements ([2, 3, 4]) into a list.The use of *rest allows for flexible unpacking when you want to capture all but the first and last elements of the array.Unpacking Nested ArraysArrays in Python can also contain other arrays, allowing you to work with nested structures. You can unpack nested arrays using a similar technique to unpacking simple arrays. Python import array arr1 = array.array('i', [1, 2]) arr2 = array.array('i', [3, 4]) arr3 = [arr1, arr2] (a, b), (c, d) = arr3 print(a, b) # 1 2 print(c, d) # 3 4 Output1 2 3 4 Explanation:Here, arr3 is a list containing two array objects: arr1 and arr2.The unpacking syntax (a, b), (c, d) = arr3unpacks each array into its respective values.The variables a, b, c, and d are assigned values from the two arrays, and the result is printed.Unpacking Using Indexing and SlicingYou can also slice an array and unpack the results. This can be particularly useful if you want to extract only specific parts of an array. Python import array arr = array.array('i', [10, 20, 30, 40, 50]) first_two, *rest = arr[:2], arr[2:] print(first_two) # [10, 20] print(rest) # [30, 40, 50] Outputarray('i', [10, 20]) [array('i', [30, 40, 50])] Explanation:We slice the array into two parts: arr[:2] (the first two elements) and arr[2:] (the remaining elements).We then unpack the two slices into first_two and rest.This technique allows for more control over what parts of the array you want to unpack. Comment More infoAdvertise with us Next Article Python Unpack Array A anuragtriarna Follow Improve Article Tags : Python Python Programs Python-array Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. Itâs simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly. It'sA high-level language, used in web development, data science, automation, AI and more.Known fo 10 min read Python Interview Questions and Answers Python is the most used language in top companies such as Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify and many more because of its simplicity and powerful libraries. To crack their Online Assessment and Interview Rounds as a Python developer, we need to master important Pyth 15+ min read Python OOPs Concepts Object Oriented Programming is a fundamental concept in Python, empowering developers to build modular, maintainable, and scalable applications. By understanding the core OOP principles (classes, objects, inheritance, encapsulation, polymorphism, and abstraction), programmers can leverage the full p 11 min read Python Projects - Beginner to Advanced Python is one of the most popular programming languages due to its simplicity, versatility, and supportive community. Whether youâre a beginner eager to learn the basics or an experienced programmer looking to challenge your skills, there are countless Python projects to help you grow.Hereâs a list 10 min read Python Exercise with Practice Questions and Solutions Python Exercise for Beginner: Practice makes perfect in everything, and this is especially true when learning Python. If you're a beginner, regularly practicing Python exercises will build your confidence and sharpen your skills. To help you improve, try these Python exercises with solutions to test 9 min read Python Programs Practice with Python program examples is always a good choice to scale up your logical understanding and programming skills and this article will provide you with the best sets of Python code examples.The below Python section contains a wide collection of Python programming examples. These Python co 11 min read Python Introduction Python was created by Guido van Rossum in 1991 and further developed by the Python Software Foundation. It was designed with focus on code readability and its syntax allows us to express concepts in fewer lines of code.Key Features of PythonPythonâs simple and readable syntax makes it beginner-frien 3 min read Python Data Types Python Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, Python data types are classes and variables are instances (objects) of thes 9 min read Input and Output in Python Understanding input and output operations is fundamental to Python programming. With the print() function, we can display output in various formats, while the input() function enables interaction with users by gathering input during program execution. Taking input in PythonPython input() function is 8 min read Enumerate() in Python enumerate() function adds a counter to each item in a list or other iterable. It turns the iterable into something we can loop through, where each item comes with its number (starting from 0 by default). We can also turn it into a list of (number, item) pairs using list().Let's look at a simple exam 3 min read Like