How to Resolve the Path.glob Issue When Searching for Files with Regex in Python
Автор: vlogize
Загружено: 2025-04-07
Просмотров: 0
Описание:
Learn how to effectively find files using `Path.glob` in Python, especially when faced with regex challenges. This guide walks through the common mistake of confusing glob patterns with regular expressions and provides clear solutions.
---
This video is based on the question https://stackoverflow.com/q/76766005/ asked by the user 'James Miller' ( https://stackoverflow.com/u/7821334/ ) and on the answer https://stackoverflow.com/a/76766079/ provided by the user 'Barmar' ( https://stackoverflow.com/u/1491895/ ) 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: (Python) Cannot find existing file with regex, Path.glob, and known substring
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.
---
Troubleshooting Path.glob in Python: A Common Issue with File Search
If you've ever been faced with the frustrating problem of not being able to locate a file using Python's Path.glob, you're not alone. A common scenario arises when trying to find files based on certain IDs — which can include letters, numbers, and other characters. In this guide, we'll dissect a real-world issue faced in a Python script and provide a straightforward solution to finding your files effectively.
The Problem
As a Python developer, you're working with file handling using the pathlib module, specifically utilizing the glob() function to navigate through directories and find files. However, you come across an issue:
You have an ID that you need to match within filenames.
Despite verifying that the files exist, your use of sub_tree.glob(".*" + ID + ".*") returns no results.
You might think you're using regex, but here's the catch: glob() operates with wildcard patterns, not regular expressions. This misunderstanding can lead to hours of wasted debugging time.
Understanding Path.glob Behavior
What is Path.glob?
Path.glob() is a method used in the pathlib module in Python for matching files in a directory based on a specific pattern. glob() supports wildcards like * which means "match zero or more characters" and ? which means "match a single character".
Key Differences
Glob Patterns: Use wildcards (* for multiple characters, ? for a single character).
Regex Patterns: Use special characters for pattern matching (e.g., . for any character, * for zero or more occurrences).
The Solution: Correctly Use Wildcards with Path.glob
To effectively locate your files, you should revise the way you build your search pattern. Instead of utilizing regex, focus on wildcard patterns. Below is the recommended approach:
Revised Code Snippet
Replace your existing use of glob() as follows:
[[See Video to Reveal this Text or Code Snippet]]
Explanation of the Changes
Pattern Construction: Start the pattern with */ to allow for recursion into subdirectories. The *{id} part assures that the ID will be included anywhere in the filename.
Wildcards: Use * around the ID to match any file names that contain the specified ID.
Updated Function Implementation
Here’s how you can integrate the change into your existing function:
[[See Video to Reveal this Text or Code Snippet]]
Conclusion
By understanding the limitations of Path.glob and revising your pattern using wildcards, you should now be able to effectively locate files that contain the IDs you are searching for. This adjustment will save you time and frustration when working on file management tasks in Python.
Whether you are working in a local or remote environment, such as SSH on Linux, clarity in your approach makes a significant difference. Happy coding!
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: