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Скачать или смотреть How to Create a JSON Array in Python from a File

  • vlogize
  • 2025-03-27
  • 2
How to Create a JSON Array in Python from a File
Creating a JSON Array in Python using contents from a filepython
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Описание к видео How to Create a JSON Array in Python from a File

Learn how to read a list of numbers from a file in Python and convert it into a structured `JSON array`. This guide will simplify your coding process with easy-to-follow steps and examples.
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This video is based on the question https://stackoverflow.com/q/71354206/ asked by the user '779804' ( https://stackoverflow.com/u/16727345/ ) and on the answer https://stackoverflow.com/a/71354247/ provided by the user 'jkoestinger' ( https://stackoverflow.com/u/4489581/ ) 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: Creating a JSON Array in Python using contents from a file

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 Create a JSON Array in Python from a File

If you have a text file and you want to create a JSON array from its contents, you're in the right place! In this guide, we'll walk through how to read a list of numbers from a file in Python and turn it into both a straightforward list and a more structured JSON format.

The Problem

Imagine you have a file named codes.txt that contains a list of numbers, each on a new line. You want to read these numbers into your Python program and convert them into a JSON array for easy usage. Here’s what your file might look like:

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

You want to transform this into a structure like:

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

or simply a JSON array like: ["430490", "348327", "923489"]. Let’s break down how to do this step by step.

Solution Steps

1. Open the File

First, you'll need to open the codes.txt file and read its contents. Here’s how you can do that:

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

In this code:

We open the file in read mode.

We read each line from the file and store it in the variable codelist.

Finally, we close the file to free up resources.

2. Clean Up the Data

After reading the lines, each number will still have a newline character at the end. You can clean this up using a list comprehension:

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

This list comprehension iterates over each line in codelist and removes any leading/trailing whitespace, including newline characters.

3. Create the JSON Structure

Now that you have a clean list of codes, you can create a structured dictionary for JSON output:

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

This step creates a dictionary with a key named codes, which holds the list of cleaned codes.

4. Convert to JSON Format

If you want to convert this dictionary into the JSON format, you'll first need to import the json module and then use json.dumps:

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

This converts the dictionary into a JSON-formatted string.

Complete Code Example

Bringing it all together, here’s the complete code that does the job:

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

Conclusion

Creating a JSON array in Python from a file is not only straightforward but also quite rewarding. By following this guide, you should be well on your way to manipulating data formats efficiently! Whether you're preparing data for a web application or just organizing your information, this method works seamlessly.

If you have any questions or comments about this process, feel free to reach out. Happy coding!

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