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Скачать или смотреть How to Remove String Ending with Specific Suffix in Python Using Regex

  • vlogize
  • 2025-03-23
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How to Remove String Ending with Specific Suffix in Python Using Regex
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Описание к видео How to Remove String Ending with Specific Suffix in Python Using Regex

Learn how to effectively remove file name suffixes that match specific date formats in Python using regex.
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This video is based on the question https://stackoverflow.com/q/74984788/ asked by the user 'BigD' ( https://stackoverflow.com/u/3004472/ ) and on the answer https://stackoverflow.com/a/74985210/ provided by the user 'Akshay Sehgal' ( https://stackoverflow.com/u/4755954/ ) 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 remove string ending with specific string

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 Remove String Ending with Specific Suffix in Python Using Regex

When working with file names or strings in Python, you might encounter situations where you need to remove certain suffixes based on specific patterns. For example, you may have a list of file names containing date markers such as YYYYMMDD or yyyymmdd, and you want to clean up these file names by removing those date suffixes.

In this guide, we will explore how to remove strings ending with specific suffixes using regular expressions (regex) in Python. By the end of this post, you'll be equipped with a solution to achieve your desired string formatting.

Introduction to the Problem

Consider the following file names:

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

Your goal is to remove the suffix when it matches any of the following patterns:

YYYYMMDDHHMMSS

yyyymmdd

YYYYmmdd

YYYY

The expected output should look like this:

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

Solution

To achieve this, we can utilize Python's regex capabilities. Below, we'll break down the solution and explain the regex pattern we'll use.

Step 1: Prepare the Regex Pattern

We need a regex pattern that captures the specifics of our requirements. The regex pattern we're going to use is:

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

Step 2: Implementing the Code

Here’s how you can implement this in Python:

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

Step 3: Explanation of the Code

Here’s what the code does step by step:

Import the Regex Module: We start by importing the re module, necessary for regex operations.

Regex Pattern:

_: Matches the underscore character preceding the date.

Y+: Looks for one or more instances of Y.

**M*D*H*M*S***: Combines zero or more occurrences of the characters M, D, H, M, and S in that order.

Removing Suffixes: The re.sub() function is used to replace occurrences that match the pattern with an empty string, effectively removing the suffixes. The flags=re.IGNORECASE argument allows the matching to occur without case sensitivity, accommodating both uppercase and lowercase variations.

Step 4: Running the Code

When you run the above code, you will get the following output:

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

This output confirms that the unwanted suffixes have been successfully removed.

Conclusion

In this post, we demonstrated a simple yet effective method to remove specific suffixes from strings in Python using regex. By understanding how to craft a regex pattern, you can efficiently clean up your file names or strings according to your needs. Feel free to adjust the regex pattern depending on your specific requirements!

If you have any questions or further examples you'd like to see explored, feel free to leave a comment!

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