Скачать или смотреть How to Transform JSON into a Flattened CSV with Python

Learn how to convert a complex JSON structure into a `flattened CSV` format using Python. Discover the best practices and a sample code to aid your transformation.
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How to Transform JSON into a Flattened CSV with Python

In many data processing scenarios, you'll find yourself needing to convert data from one format to another. A common requirement is to generate a flattened CSV file from a complex JSON structure. This post will guide you through the process of extracting rows from a nested JSON object and transforming it into a cleanly structured list, perfect for use as a CSV file.

The Problem: Flattening JSON to CSV

Consider a JSON object that contains details of a transport order as shown below:

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The objective is to flatten the above structure into a CSV format where each order line becomes a separate row, while duplicating the shared information across those rows. The desired output is as follows:

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The Solution: Using Pandas to Flatten JSON

To achieve this transformation, we can utilize the pandas library in Python. This library provides powerful data manipulation capabilities, making it perfect for our task. Below are the steps to follow to flatten the JSON structure and format it into a DataFrame.

Step 1: Install Pandas

If you haven't already installed pandas, you can do so by running the following command in your terminal:

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Step 2: Transforming JSON into a DataFrame

Here's how to retrieve and transform the JSON data into a pandas DataFrame:

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Step 3: Output Review

The above code will generate a DataFrame containing all the necessary information laid out correctly. You’ll see the following output upon executing the script:

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Conclusion

By following the provided steps, you can efficiently convert complex JSON structures into a flattened format suitable for CSV files using Python and the pandas library. This method is explicit and ensures that each entry is created accurately, thereby eliminating potential errors during transformation. Happy coding!