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Скачать или смотреть How to Efficiently Copy Files Based on Filename Patterns in Python for Loops

  • vlogize
  • 2025-04-11
  • 1
How to Efficiently Copy Files Based on Filename Patterns in Python for Loops
Copying files based on File name in for loop in Pythonpython
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Описание к видео How to Efficiently Copy Files Based on Filename Patterns in Python for Loops

Learn how to copy specific `.xlsx` files based on filename patterns using Python's `pathlib` module. Simple code examples included!
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This video is based on the question https://stackoverflow.com/q/76169378/ asked by the user 'Roq' ( https://stackoverflow.com/u/21041085/ ) and on the answer https://stackoverflow.com/a/76169522/ provided by the user '911' ( https://stackoverflow.com/u/17125527/ ) 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: Copying files based on File name in for loop 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.
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How to Efficiently Copy Files Based on Filename Patterns in Python for Loops

If you are working with multiple .xlsx files in a directory and need to copy certain files that meet specific naming conditions, you may face challenges with your initial code approach. Fortunately, Python's powerful libraries can help streamline this process. In this post, we'll explore an elegant way to copy files based on their names using pathlib and a simple for loop.

Understanding the Problem

You have a directory containing multiple .xlsx files with names like:

1-9999.xlsx

10000-19999.xlsx

350000_359999.xlsx

360000_363946.xlsx

Your goal is to copy files based on conditions defined by certain target names. For example, you want to copy files whose names start with 35 or 36. Your initial attempt with code faced issues, and you're looking for a solution that works efficiently and effectively.

Why the Initial Code Failed

Here's a snippet from the initial code you provided:

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

The code has a few key issues:

Inefficient Searching: The use of regex (re.search) with the original file names adds unnecessary complexity and can slow down the process.

Loop Overhead: The nested loops might also lead to performance bottlenecks, especially with a large number of files.

The Solution: Using pathlib and rglob

To address these concerns, we can leverage the pathlib module, which provides a more straightforward and efficient way of handling file paths and patterns. Here’s how you can do it:

Step-by-Step Code Breakdown

Import Libraries: Begin by importing the necessary modules.

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

Define Paths: Specify the source directory containing your .xlsx files and the target directory where you want to copy the files.

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

Set Target Patterns: Determine the target patterns of filenames to copy. You can format this as a pattern string.

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

Copy Files: Use rglob from pathlib to search for all matching files and copy them to the new directory.

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

Complete Working Code

Here is the complete solution combined into a single script:

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

Conclusion

By using pathlib with the rglob method, you can efficiently copy files based on filename patterns, simplifying your code and improving performance. This approach eliminates the need for complex regex searching, making your script cleaner and easier to maintain. Try incorporating this solution into your workflow to manage .xlsx files with ease!

If you have any questions or further issues, feel free to ask!

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