How to Process Multiple Lines of JSON Data with Python ndjson Format

Learn how to effectively read and manipulate multiple JSON objects stored in a single file using `ndjson` (newline delimited JSON) format in Python.
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Parsing Multiple Lines of JSON in Python: Handling ndjson Format

Working with JSON files is a common task in data processing and implementation. However, when you're faced with a JSON file containing multiple records that are not separated by commas but exist as individual lines, you might wonder how to handle it efficiently. If you've encountered a scenario where your JSON data is structured in a newline delimited format—commonly referred to as ndjson—this guide will help you navigate through that challenge seamlessly.

Understanding the Problem

Let's say you have a function designed to process a single JSON object. Below is an example of a well-structured JSON object that your function can handle:

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

However, you realize that your input data resembles the following format where each JSON object appears on a new line without commas:

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

Processing this format requires a different approach. You might be asking yourself: How can I apply my function to each of these individual JSON objects in the file?

The Solution: Using the ndjson Format

To handle JSON data structured in the ndjson format, you will need to read the entire file content, split it by lines, and then parse each line as a separate JSON object. Here’s how you can achieve that in Python:

Step-by-Step Guide:

Define your parsing function: Create a function that takes the text input and splits it into JSON objects.

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

Open your JSON file: Use Python's file handling to read your JSON data.

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

Process each JSON object: For every parsed dictionary, apply your processing function.

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

Complete Example

Here is the complete code integrated altogether:

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

Conclusion

By following this structured approach you can effectively read and manipulate multiple lines of JSON objects from a single ndjson formatted file. This process opens up a world of possibilities for handling datasets that are structured in this way. All it takes is splitting the content and applying your existing function to each JSON object. Now you can unlock the potential of your large datasets more efficiently!