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Скачать или смотреть Extracting a Substring in Python: How to Get Text Before and After a Space

  • vlogize
  • 2025-10-03
  • 0
Extracting a Substring in Python: How to Get Text Before and After a Space
How to get sub string before and after space from main string using search in python3?python 3.x
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Описание к видео Extracting a Substring in Python: How to Get Text Before and After a Space

Learn how to efficiently extract a substring before and after a space from a main string using Python regex. This guide provides clear steps and examples!
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This video is based on the question https://stackoverflow.com/q/62931139/ asked by the user 'Thribhuwan' ( https://stackoverflow.com/u/3213879/ ) and on the answer https://stackoverflow.com/a/62931226/ provided by the user 'Andrej Kesely' ( https://stackoverflow.com/u/10035985/ ) 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 get sub string before and after space from main string using search in python3?

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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Extracting a Substring in Python: How to Get Text Before and After a Space

In programming, extracting specific parts of a string can be a common task. If you're working with Python and need to acquire a substring that falls before and after a specific keyword (such as "Sample-VR"), you might encounter some challenges. In this post, we'll tackle a specific problem where we want to extract text from a larger string using regular expressions. Let’s take a look at the problem and how we can solve it.

The Problem

Suppose you have a string containing various texts, and you want to isolate a substring that contains the term “Sample-VR.” For example, given the string:

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

Your goal is to capture just the substring “KLC-SOME345-Sample-VR.” You may have tried using spaces or other methods, but faced difficulties in achieving this. Let's explore how we can accomplish this using Python and regex.

The Solution: Using Python’s Regex Module

By utilizing the re module, we can create an effective solution that captures our desired substring. Below is the revised code you can use:

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

Breakdown of the Code

Import the re Library: This library provides the necessary functions for regex operations.

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

Define Your String: Store the original string in a variable called OUTPUT.

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

Create a Search Pattern: Use re.search() to define the regex pattern. Here’s the pattern broken down:

([^\s]*Sample-VR[^\s]*):

([^\s]*): Match any characters that are not whitespace, zero or more times, before "Sample-VR".

Sample-VR: The exact substring you are looking for.

[^\s]*: Match any characters that are not whitespace, zero or more times, after "Sample-VR".

Run the Search: The re.IGNORECASE flag makes the search case-insensitive. If the substring is found, it will print the result.

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

Output

When you run the code above, the output will be:

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

This gives you exactly the substring you wanted, isolated from the rest of the text.

Conclusion

Using Python's regex capabilities allows you to extract substrings from larger strings efficiently. This is particularly useful when dealing with complex strings that contain varying formats. By understanding and using simple regex patterns, you can manipulate strings in powerful ways.

Now that you've learned how to extract substrings effectively, you can apply this technique to your own projects! Happy coding!

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