How to Modify Python Script to Format JSON Output as a List?

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Summary: Learn how to modify a Python script to convert text file data into a formatted JSON output as a list. Perfect for intermediate and advanced users.
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How to Modify Python Script to Format JSON Output as a List?

In today's interconnected world, data is often exchanged in JSON (JavaScript Object Notation) format. For developers and data scientists, ensuring your data outputs are correctly formatted is crucial. This post will guide you through modifying a Python script to convert data from a text file into a JSON output formatted as a list. This guide is ideal for intermediate to advanced users familiar with Python and basic data conversion concepts.

Understanding the Objective

There might be cases where you need to read data from a text file and then convert this data into a structured JSON format. In specific scenarios, you might need this JSON to be represented as a list. Here's a step-by-step guide to achieving this.

Step 1: Reading the Text File

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

We will start by writing a Python script to read this file.

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

Step 2: Cleaning the Data

Reading the file line-by-line will include newline characters (\n). We need to remove these characters to get clean data.

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

Step 3: Converting to JSON

Now that we have cleaned data, we can convert it into a JSON format. In our case, we wish to format it as a list. Python’s json module makes this easy.

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

Step 4: Writing JSON to a File

Finally, you may want to save this JSON formatted data to a new file for later use.

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

Full Script

Combining all the steps, here is the complete Python script.

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

Conclusion

By following these steps, you can successfully modify a Python script to read data from a text file, clean it, and convert it into a JSON format as a list. This approach ensures that your data is well-structured and ready for further processing or sharing.

Happy coding!
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