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Скачать или смотреть How to Split a String by Digits in Python Using Regex

  • vlogize
  • 2025-10-09
  • 0
How to Split a String by Digits in Python Using Regex
Splitting a string by digitpythonregex
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Описание к видео How to Split a String by Digits in Python Using Regex

Learn how to efficiently split a string by digits versus everything else using Python's regex module. This guide provides step-by-step instructions with code examples.
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This video is based on the question https://stackoverflow.com/q/64712802/ asked by the user 'pinnochio' ( https://stackoverflow.com/u/12502009/ ) and on the answer https://stackoverflow.com/a/64712837/ provided by the user 'Daweo' ( https://stackoverflow.com/u/10785975/ ) 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: Splitting a string by digit

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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Splitting a String by Digits in Python

When working with strings in Python, there may be situations where you need to separate digits from non-digit characters. For example, consider the string hello_there16.txt — you might want to separate it into the segments: hello_there, 16, and .txt. In this guide, we'll explore how to split a string by digits using the Regular Expressions (regex) module in Python.

The Problem

In the example above, a user attempted to use re.match() to segregate different parts of the string based on their character types, but the output was empty. The challenge here is not just to match but to actually split the string at the given points, making sure we capture the digits as a separate entity while also retaining other parts of the string.

Expected Output

The expected output from the example was:

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

However, the resulting match turned out to be empty, indicating that re.match might not be the appropriate tool for this task.

The Solution

To effectively split a string by digits, we can utilize Python's built-in regex method re.split(). This method allows us to divide the string wherever we find a pattern match—in this case, the digits.

Step-by-Step Instructions

1. Import the re module

First, you will need to import the regex module, which provides the necessary tools for handling regular expressions.

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

2. Define the string

Next, we define the string that we want to split. In our case, we have:

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

3. Use re.split()

Now, we can proceed to split the string using re.split(). The pattern ([0-9]+ ) is used to specify that we want to split at one or more digits. Here's how you achieve that:

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

4. Print the Output

Finally, we print the result to see the different segments of our string:

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

Example Code

Here’s the complete code that accomplishes the task:

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

Output

When you run the code, you'll get the following output:

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

Conclusion

By following the steps above, you can easily split a string by digits in Python using the regex module. This method retains the original formatting of the components of the string while allowing you to separate the numeric parts effectively. Regular expressions are powerful tools in Python for string manipulation, and mastering them can greatly enhance your coding efficiency.

Happy coding!

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