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Скачать или смотреть How to Delete Data from a Text File in Python: Retain Specific Values

  • vlogize
  • 2025-10-02
  • 0
How to Delete Data from a Text File in Python: Retain Specific Values
How to Delete stuff in a txt using python and keep certain ones left in txtpythonstringpython requestsint
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Описание к видео How to Delete Data from a Text File in Python: Retain Specific Values

Learn how to use Python to `delete unwanted data` from a text file while keeping specific values. Our guide simplifies the process step-by-step.
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This video is based on the question https://stackoverflow.com/q/62833739/ asked by the user 'TeisqI' ( https://stackoverflow.com/u/13737535/ ) and on the answer https://stackoverflow.com/a/62834005/ 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 Delete stuff in a txt using python and keep certain ones left in txt

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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 Delete Data from a Text File in Python: Retain Specific Values

Managing data in Python often requires cleaning and filtering processes. One common task that developers encounter is the need to delete specific values from a text file while retaining others. This guide will walk you through the steps to effectively delete unwanted data from a JSON formatted text file in Python.

The Challenge

Suppose you are working with a json string containing user information, and your goal is to retain specific user IDs while discarding all others. You may have received this data in a format similar to the following:

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

From this formatted string, you want to extract only certain user IDs according to your requirements.

Solution Overview

To accomplish this, you'll be using Python’s built-in json module to parse the JSON data. Here’s how you can do it step-by-step:

Step 1: Parsing the JSON Data

Import the JSON module: This built-in module allows you to work with JSON data seamlessly.

Load your JSON string: You’ll convert the JSON formatted string into a Python dictionary for easy manipulation.

Here's a sample code snippet to accomplish this:

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

Step 2: Extract the User IDs

You can iterate through the list of users and extract only the userId values.

Here's how you can do this:

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

Step 3: Option to Filter Specific IDs

If you know which specific IDs you want to keep, you can modify your loop to only retain those. Here's a basic structure that checks against a list of IDs to keep:

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

Step 4: Saving the Result

Finally, if you want to save the filtered IDs back to a text file, you can do so like this:

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

Conclusion

Using Python's JSON module, it becomes straightforward to delete unwanted data while retaining specific values from text files. With this guide, you should feel confident managing your data with ease. Explore further by fetching data from APIs or working with larger datasets, applying your newfound skills to solve real-world challenges.

Make sure to adjust your ids_to_keep set according to your needs, and happy coding!

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