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Скачать или смотреть Converting JSON to CSV in Python

  • vlogize
  • 2025-04-14
  • 1
Converting JSON to CSV in Python
Using Python to conver JSON to CSVpythonjsonpandascsv
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Описание к видео Converting JSON to CSV in Python

Learn how to convert `JSON` data into a structured `CSV` format using Python without relying on libraries like Pandas. Perfect for beginners!
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This video is based on the question https://stackoverflow.com/q/68656899/ asked by the user 'Sotark' ( https://stackoverflow.com/u/11909200/ ) and on the answer https://stackoverflow.com/a/68657209/ provided by the user 'Barmar' ( https://stackoverflow.com/u/1491895/ ) 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: Using Python to conver JSON to CSV

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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Converting JSON to CSV in Python: A Step-by-Step Guide

If you’re working with data, you may frequently encounter the need to convert between different file formats. One common task is converting JSON (JavaScript Object Notation) data to CSV (Comma-Separated Values) format. This can be especially important for data analysis or importing data into spreadsheets.

In this guide, we’ll look at a specific problem: How to efficiently convert a JSON file into a properly structured CSV file using Python, without having to over-rely on libraries like Pandas.

The Problem

Imagine you have a JSON file that contains financial transaction information. However, when you try to convert this file into CSV using the Pandas library, you end up with all data in a single column, which is not what you expect. Here’s a brief illustration of the issue:

Example JSON Structure

Your JSON data might look something like this:

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

Expected Output

You would ideally want your CSV format to appear like this:

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

However, when the export fails and you see all data jumbled into a single column, it becomes clear that the output is not useful.

The Solution

To perform the conversion correctly, we can utilize Python's built-in json and csv libraries. Below is a simple code snippet that achieves the desired output format.

Step 1: Reading the JSON File

You'll need to read your JSON file first. We will extract only the relevant parts of the data using a list comprehension:

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

Step 2: Creating a CSV File

Next, we should determine the headers for our CSV file, which we can easily do by collecting all the unique keys from our data.

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

Step 3: Writing Data to the CSV

Finally, we write the extracted data into the CSV format, ensuring it’s properly structured.

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

Conclusion

This method allows you to convert JSON to CSV without the complications that come with using libraries like Pandas for beginners. The combination of built-in libraries makes it easy to manage your data effectively.

By following the steps outlined above, you can confidently turn your JSON data into an organized and useful CSV format, ready for analysis or further processing!

Happy coding!

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