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Скачать или смотреть How to Create a Comma Separated List from a JSON String with Python

  • vlogize
  • 2025-04-15
  • 0
How to Create a Comma Separated List from a JSON String with Python
How to create a comma separated list out of string separated by numbered spaces inside JSON object fjsonpython 3.xlist
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Описание к видео How to Create a Comma Separated List from a JSON String with Python

Learn how to effectively transform a JSON string into a clean `comma separated list` using Python, allowing for easy extraction of data from API responses.
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This video is based on the question https://stackoverflow.com/q/75077219/ asked by the user 'RustyShackleford' ( https://stackoverflow.com/u/3277133/ ) and on the answer https://stackoverflow.com/a/75077242/ 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 create a comma separated list out of string, separated by numbered spaces inside JSON object from API?

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.

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Transforming JSON Strings into Comma Separated Lists in Python

When working with APIs, it's common to receive responses in the form of JSON objects. Sometimes, the data needs to be extracted and reformatted for better usability. In this guide, we’ll tackle a specific problem – how to create a comma-separated list from a string that contains enumerated items in a JSON object returned from an API.

The Problem

You may encounter a scenario similar to this:

You're utilizing the OpenAI API, and you receive a JSON response with a list of items organized in a numbered format.

You want to extract those items and format them into a clean, comma-separated list, removing the numbers and any extra spaces.

Sometimes, the data might be inconsistently formatted, with or without enumeration.

Here is an example of the JSON response you might receive:

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

The Solution

To convert the enumerated items in the text field into a clean comma-separated list, we can leverage Python's re module for regular expressions. Let's break down the solution into manageable steps:

Step 1: Import the Required Module

Before you begin, ensure you import the re module, which will help in parsing the string effectively.

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

Step 2: Define the Response

Here, we define the response variable, as shown above. This will simulate the JSON response we get from the API.

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

Step 3: Compile a Regular Expression Pattern

We need to create a regular expression pattern that matches the numbered format and extracts the text cleanly:

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

Step 4: Process the Choices

Using the compiled pattern, we can iterate over the choices array and replace the text with its cleaned version:

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

Step 5: Output the Result

You can now observe the modified response by printing it:

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

After executing the entire script, the text field in the choices list should now contain:

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

Conclusion

Transforming a confusing, numbered list from a JSON response into a clear, usable format can save you time and enhance the readability of your data. By using the Python re module, you can effectively clean up strings and ensure they're in a format that suits your needs.

Using this method will enable you to easily manage and manipulate your data, regardless of inconsistencies in the API's responses. Happy coding!

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