Скачать или смотреть How to Sort a Nested List in Python for Maximum Ratios

Discover how to efficiently `sort nested lists` in Python by using the sort function with a custom key. Perfect for optimizing data representation.
---
This video is based on the question https://stackoverflow.com/q/71836979/ asked by the user 'Red_Haired_Shanks' ( https://stackoverflow.com/u/18099191/ ) and on the answer https://stackoverflow.com/a/71837021/ provided by the user 'BrokenBenchmark' ( https://stackoverflow.com/u/17769815/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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: Sorting Nested list in python

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Sort a Nested List in Python for Maximum Ratios

Sorting nested lists in Python can seem tricky at first, especially when you want to order the lists based on a specific criterion, such as a calculated value. In this guide, we'll explore how to sort a nested list that holds ratios derived from profits and weights. Whether you're working on a school assignment or tackling a real-world problem, this guide will equip you with the tools you need to reorder your data effectively.

Understanding the Problem

Consider a scenario where you are given two lists: one representing profits and the other representing weights. You need to calculate the profit-to-weight ratio and sort these ratios in descending order. Here's a quick look at our example data:

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

From these lists, we want to create a nested list that pairs each weight with its corresponding profit-to-weight ratio. Your initial output looks like this:

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

However, your goal is to sort these pairs so the one with the highest ratio comes first, resulting in:

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

Step-by-Step Solution

To achieve this sorting based on the ratios, we need to make a small modification to our code. Below are the steps to implement the solution effectively:

Step 1: Calculate Profits to Weights Ratios

You'll start by creating a nested list to hold the pairs of weights and their corresponding ratios.

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

The ratio list now contains the required pairs:

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

Step 2: Sort the Nested List

The next step is sorting this nested list by the second element of each sub-list (the ratio). You can accomplish this by using Python's built-in sort() method with a custom key function.

Below your current code, add the following line:

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

Step 3: Review Your Output

After executing the sort operation, your ratio list will now be ordered correctly:

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

Final Result with Sorted Ratios

If you want the ratios to be sorted in descending order instead of ascending, simply modify your sort call to:

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

Now the output will be:

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

Conclusion

Sorting a nested list based on calculated values is straightforward with Python's list sorting capabilities. Whether you're processing weights and profits or any other pairs of data, the method described here will help you quickly reorder your information for optimal analysis.

Now, it's time for you to try it out! By implementing the steps outlined in this post, you'll have a sorted nested list in no time.