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Скачать или смотреть How to Remove Spaces Between Strings in Python Efficiently

  • vlogize
  • 2025-08-03
  • 1
How to Remove Spaces Between Strings in Python Efficiently
Python - remove space between the stringspython
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Описание к видео How to Remove Spaces Between Strings in Python Efficiently

Discover an effective way to `remove excessive spaces` from strings in Python using simple methods. Transform your string arrays with our easy-to-follow guide!
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This video is based on the question https://stackoverflow.com/q/76441395/ asked by the user 'vishal' ( https://stackoverflow.com/u/643194/ ) and on the answer https://stackoverflow.com/a/76441441/ provided by the user 'Jab' ( https://stackoverflow.com/u/225020/ ) 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 - remove space between the strings

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 Spaces Between Strings in Python Efficiently

When working with strings in Python, you may come across situations where strings are cluttered with excessive spaces that need to be removed. This is particularly common when handling data from various sources or input forms. In this guide, we will address a specific case where spaces are present in a string array and show you how to clean it up using Python. Let's dive in!

The Problem

Imagine you have a string array that looks like this:

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

Your goal is to transform it into a single line, neatly formatted string like this:

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

In your attempts, you wrote a loop that replaces occurrences of &# 32;, strips extra spaces, and builds a final string. This method may work, but you might be looking for a more efficient or cleaner approach.

The Solution

Here are two recommended methods to effectively remove unwanted spaces from your strings.

Method 1: Using str.join

A straightforward way to achieve your goal is by using the str.join() method combined with list comprehension. This method is not only concise but also highly readable.

Code Example

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

Explanation

List Comprehension: We iterate through each string s in htmljob_arr and perform two actions:

Replace &# 32; with an empty string to remove those unwanted characters.

Use strip() to remove leading and trailing whitespace around the strings.

Join: The final output is created by joining the cleaned strings with a single space between them.

Method 2: Using Regular Expressions (for Extra Credit)

If you enjoy using Python's built-in re module, there's another way to approach this problem that leverages regular expressions. This method can be particularly useful if the input strings are more complex.

Code Example

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

Explanation

Join: Similar to the first method, we first join all strings in htmljob_arr with a space.

Regular Expression: We use re.sub() to search for any sequence of whitespace characters followed by &# 32; and replace them with an empty string, effectively cleaning the input.

Conclusion

By using the methods outlined above, you can efficiently clean up spaces in your string arrays. The str.join() method is excellent for straightforward string manipulation, while the re module provides flexibility for more complex patterns. Choose the method that best fits your needs, and enjoy cleaner string data in your Python projects!

Keep exploring and happy coding!

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