How to Sort Nested Arrays in Python Without External Libraries

Learn how to effectively sort arrays within an array in Python using simple techniques and without relying on external libraries.
---

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How would you sort nested arrays in Python

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Sorting Nested Arrays in Python: A Simple Guide

Sorting data is a fundamental task in programming, and Python makes it quite easy to manage. One such scenario is when you are working with nested arrays (or lists). You might need to sort each of the sub-arrays within a larger array. This guide will guide you through how to achieve this in Python without the need for external libraries.

The Problem

Imagine you have a nested array, which is essentially an array that contains other arrays. For example, consider the following data structure:

[[See Video to Reveal this Text or Code Snippet]]

Your goal is to sort each individual sub-array, so that you transform the x array into a neatly sorted structure:

[[See Video to Reveal this Text or Code Snippet]]

The Solution

There are several ways to sort nested arrays in Python using built-in functions. Below, we will explore two of the most effective methods.

Method 1: List Comprehension

Using list comprehension is one of the most straightforward and efficient methods to sort each sub-array. Here’s how you can do it:

[[See Video to Reveal this Text or Code Snippet]]

How it Works:

The code iterates through each sublist in the main list x.

It applies the sorted() function to each sublist i, which returns a new sorted list.

Output:
After running the above line of code, sorted_arrays will contain:

[[See Video to Reveal this Text or Code Snippet]]

Method 2: Using map()

Another method you can use is the map() function, which applies the sorted() function to each element in the nested array:

[[See Video to Reveal this Text or Code Snippet]]

How it Works:

map() applies the sorted() function to every sub-array in x.

The list() function is then used to convert the map object back into a list.

Output:
Just like the first method, the result will be:

[[See Video to Reveal this Text or Code Snippet]]

Important Notes

Difference Between sort() and sorted(): Keep in mind that:

The sort() method sorts a list in place and returns None, meaning it modifies the original list.

The sorted() function returns a new sorted list, leaving the original list unchanged.

Conclusion

In conclusion, sorting nested arrays in Python is a breeze with list comprehension and the map() function. Both methods are efficient and yield the same results. Depending on your coding style, you can choose the method that you find more readable or convenient. Next time you have nested arrays that require sorting, you now have the tools to tackle it easily!

Feel free to try these methods in your Python environment and see how they work with your data structures!