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Скачать или смотреть Speed Up Your PNG Sequence Filter with Python Regex and GroupBy

  • vlogize
  • 2025-09-03
  • 0
Speed Up Your PNG Sequence Filter with Python Regex and GroupBy
Slow List Comprehension with Regexpythonpython 3.xregexperformancepython 3.8
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Описание к видео Speed Up Your PNG Sequence Filter with Python Regex and GroupBy

Discover how to efficiently filter `png sequences` in Python using regex and groupby for improved performance.
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This video is based on the question https://stackoverflow.com/q/64575530/ asked by the user 'EllipticalInitial' ( https://stackoverflow.com/u/8584998/ ) and on the answer https://stackoverflow.com/a/64575970/ provided by the user 'dawg' ( https://stackoverflow.com/u/298607/ ) 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: Slow List Comprehension with Regex

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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Speed Up Your PNG Sequence Filter with Python Regex and GroupBy

If you are working with large sets of image files, filtering them can sometimes become a tedious and time-consuming task. In this post, we will delve into a common problem faced by Python developers: how to efficiently filter a list of PNG files to retain only those that belong to the same sequence based on their prefixes.

The Problem

Imagine you have a list of image files:

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

Your goal is to keep only the PNG files that appear in sequences, which means filtering the list down to only those with prefixes that repeat. The desired filtered output based on the above list would be:

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

However, the initial attempt to achieve this with list comprehension can become sluggish as the number of files increases, particularly when dealing with thousands of images.

The Initial Approach

In your initial approach, you might have used a method that looks like this:

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

While this code does perform the task, it is inefficient, particularly as the size of your list grows. The use of re.search inside a list comprehension can lead to performance issues due to repeated regex operations.

The Optimized Solution

To enhance efficiency, you can leverage the groupby function in the itertools module along with regex to group the files based on their prefixes. Here’s how you can do it:

Step 1: Import Required Modules

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

Step 2: Sort and Group the Files

You can group your list of files by their prefixes by sorting them and using groupby:

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

Output Explained

This will yield:

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

Step 3: Filter Only Groups with Multiple Files

To only obtain prefixes where there are multiple files, you can slightly modify the loop:

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

Performance Improvement

This optimized approach significantly speeds up the process. For example, running this method on a list with 10,000 files will complete in around 152 ms!

Conclusion

Using Python's regex and groupby function allows you to efficiently filter PNG sequences by their prefixes without the delays caused by repetitive regex searches. This method is particularly handy for handling large lists of image files in your applications. Try implementing this solution to improve the performance of your file handling tasks!

If you face any challenges while implementing this solution, feel free to ask for help!

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