Скачать или смотреть How to Properly Use writerow() with Lists from JSON in Python

Learn how to efficiently write multiple rows to a CSV file using Python's `csv` module with data extracted from JSON.
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This video is based on the question https://stackoverflow.com/q/72969093/ asked by the user 'Felipe Useda' ( https://stackoverflow.com/u/19537702/ ) and on the answer https://stackoverflow.com/a/72969480/ 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.

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Understanding the Problem: Writing CSV Rows from JSON Data

When working with data in Python, you may find yourself needing to export your information in a structured format. CSV (Comma-Separated Values) files are a common choice for this purpose, especially useful for data analysis or sharing. However, what happens when you try to write multiple values extracted from JSON, and they all end up in a single row in your CSV file?

This is exactly the issue many developers face, as seen in the case of an individual trying to write records of tickets and their durations to a CSV file. Instead of each ticket and duration appearing on its own row, the data is aggregated into a single row. Here’s how to avoid that problem and structure your data correctly.

The Solution: Using writerows() to Write Multiple Rows

The key takeaway from this problem is that writerow() is used to write a single row to the CSV file, whereas writerows() allows you to write multiple rows at once. Let’s break down the solution step-by-step.

Step 1: Extracting Information from JSON

First, make sure that you are extracting your data correctly:

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

Here, issues_test is an array of issues from your JSON data.

Two lists, tickets and duration, are created to store values extracted from issues_test.

Step 2: Setting Up the CSV File

Next, initialize your CSV file with headers to keep your data organized:

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

The header variable lists the names of the columns.

Using the with open context manager helps to properly handle file operations.

Step 3: Writing Multiple Rows with writerows()

This is where the primary change occurs. Instead of using writerow() for the tickets and durations, use writerows() to ensure each ticket-duration pair is written to its own row:

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

The zip() function pairs elements from the tickets and duration lists.

Now, when executed, the script will correctly output the desired CSV format:

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

Conclusion

By simply swapping out writerow() for writerows() and utilizing zip() to pair your data, you can effectively write multiple entries to a CSV file from JSON data in Python. This approach not only organizes your data clearly but also makes it easier for future analysis.

Now that you have a clear understanding of how to structure your CSV outputs, you can apply this solution to your own projects. Happy coding!