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Скачать или смотреть Understanding the sorted Function in Python: Sorting a Dictionary by Value

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  • 2025-09-16
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Understanding the sorted Function in Python: Sorting a Dictionary by Value
Python sorted function: sort dictionary by value returns unexpected listpython
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Описание к видео Understanding the sorted Function in Python: Sorting a Dictionary by Value

Discover why sorting a dictionary by its values in Python can yield unexpected results. Learn how to correctly use the `sorted` function with examples and tips!
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This video is based on the question https://stackoverflow.com/q/62688483/ asked by the user 'user84592' ( https://stackoverflow.com/u/84592/ ) and on the answer https://stackoverflow.com/a/62688524/ provided by the user 'Karl Knechtel' ( https://stackoverflow.com/u/523612/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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.

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Understanding the sorted Function in Python: Sorting a Dictionary by Value

If you're learning Python, the sorted function may seem straightforward, but it can lead to unexpected behaviors—especially when it comes to sorting dictionaries by their values. In this post, we will address a common confusion that arises when attempting to sort a dictionary and provide clear solutions. By the end, you'll have a better grasp of how to properly sort dictionaries by their values.

The Problem

Consider a sample dictionary representing people's names and their ages:

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

You might attempt to sort this dictionary by age (the values) using the following code:

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

You would expect to see the names sorted in the following order based on their ages:

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

However, when you run the code, you get a different output:

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

This result may leave you confused, leading you to wonder: Why isn't it sorting the names based on their ages as intended?

The Explanation

Lambda Function Misunderstanding

The core of the issue lies in the lambda function used in the sort key. Here’s a breakdown of what happens when you use:

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

Parameter Naming Confusion: In this case, sample_dict within the lambda does not refer to the original dictionary. Instead, it represents each of the keys (names) being sorted. Since these keys are strings, using [1] results in accessing the second character of each string. For example:

'david'[1] → 'a'

'caleb'[1] → 'a'

Hence, david and caleb come first, as they both start with 'a'.

The Correct Approach

To sort the dictionary by the values (ages), you'll need to use a different method. Here are two main solutions:

Option 1: Use a Different Lambda Parameter

Instead of reusing sample_dict for the lambda parameter, use a name that helps clarify what you are doing. For instance:

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

This tells Python to fetch the corresponding value for each key, allowing the sort to work as intended.

Option 2: Sort Using Dictionary Items

Another approach is to sort the items of the dictionary directly. This method considers both keys and values. Here's how you do it:

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

This approach results in a list of tuples (key-value pairs), sorted by values in ascending order.

Conclusion

Sorting dictionaries by value in Python can be unintuitive if the sorted function is not used correctly. Remember to use separate naming in your lambda functions to avoid confusion between keys and values. By applying the techniques outlined above, you can ensure that you sort dictionaries effectively and in line with your expectations.

In summary, here's a quick recap on how to sort a dictionary by its values in Python:

Use unique parameter names in your lambda function.

Consider sorting the dictionary items if you need more clarity or want both keys and values.

By mastering these concepts, you'll enhance your proficiency in Python and reduce frustration as you write your code. Happy coding!

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