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Скачать или смотреть How to Sort glob.glob Results Containing Numbers in Python

  • vlogize
  • 2025-10-10
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How to Sort glob.glob Results Containing Numbers in Python
How to sort glob.glob containing numbers?pythonsortingglobnatural sort
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Описание к видео How to Sort glob.glob Results Containing Numbers in Python

Discover how to achieve a more logical sorting of glob.glob results in Python with this easy-to-follow guide!
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This video is based on the question https://stackoverflow.com/q/68395162/ asked by the user 'Basj' ( https://stackoverflow.com/u/1422096/ ) and on the answer https://stackoverflow.com/a/68395607/ provided by the user 'RufusVS' ( https://stackoverflow.com/u/925592/ ) 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: How to sort glob.glob containing numbers?

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.
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A Comprehensive Guide to Sorting glob.glob Results with Numbers in Python

When working with log files or similar data, it's common to encounter filenames that contain both text and numbers. However, sorting such filenames using the default functionalities in Python can lead to unexpected results. For instance, if you use the glob module to fetch your log files, the output may look disorganized, showing files in a manner that doesn't intuitively meet your expectations.

The Problem You Face

Using the following command:

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

yields an unsorted list of filenames like:

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

Even when applying the sorted() function:

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

you still end up with a list such as:

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

This list is not sorted in numerical order, which can be frustrating.

The Solution Overview

To achieve the desired sorting order—it’s essential to create a custom sorting function. This function will look for the first sequence of digits in the filenames and use both the numerical value and the entire filename as sorting keys. Here is how to implement this effectively.

Step-by-Step Breakdown of the Solution

Import Required Library
We will need the re module for regular expressions.

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

Define Your Filename List
Here, we prepare a list of filenames to sort.

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

Create a Regular Expression
You will need a regex pattern to extract numbers from the filenames.

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

Define the Sorting Key Function
Create a function that will determine the keys to sort by. This function uses regex to find the numbers and returns them as an integer for accurate sorting, alongside the original filename to maintain order for entries without numbers.

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

Perform The Sorting
Now, you can sort your list using the custom key function and print the results.

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

Run the Code

When you run the complete code snippet provided, you can expect the files to be sorted logically as follows:

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

Conclusion

Sorting filenames that contain numbers can be done efficiently in Python with the aid of regular expressions and custom sorting logic. By following the steps outlined above, you can ensure that your file lists are ordered in a way that makes intuitive sense and aligns with numeric expectations. If you frequently deal with similar scenarios, adapting this approach will save you time and will enhance your coding efficiency.

Happy coding!

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