Скачать или смотреть How to Merge Multiple JSON Files into One Using Python

Learn how to easily `combine` multiple JSON files using Python with step-by-step instructions and sample code.
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How to Merge Multiple JSON Files into One Using Python

In the world of programming, it’s common to work with multiple JSON files containing different key-value pairs. You might find yourself needing to combine these files into one for using it in applications. If you’re trying to accomplish this with JSON files and struggling to piece them together, you’re in the right place.

The Problem Statement

Imagine you have three JSON files within the same directory that hold different pieces of data but share the same format. The goal is to merge these files into one cohesive JSON file. Here’s what the JSON files look like:

File 1:

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File 2:

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File 3:

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After merging, the expected output should resemble the following combined JSON structure:

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Solution: Merging JSON Files Using Python

You can use Python to efficiently merge multiple JSON files into a single file. Below, I’ll provide you with a step-by-step guide on how to accomplish this.

Step 1: Install Required Packages

Ensure you have Python installed on your machine. You also need to have the json library available, which is included in Python's standard library. There’s no need for additional installations if you have Python set up.

Step 2: Write the Python Script

Here is a simple Python script that will read all JSON files in your directory and merge them into a single file.

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

Explanation of the Code:

Import Libraries:

The json library is used to work with JSON data.

The glob library allows you to find all file paths matching a specified pattern (in this case, *.json).

Data Aggregation:

An empty list data is created to collect the contents from all JSON files.

The glob.glob("*.json") function returns a list of all JSON files in the current directory.

Combining Files:

For each file, the script reads its content and extends the data list with the parsed contents of that JSON file.

Output:

Finally, the script writes the combined data to a file called combined.json with proper formatting using indent=4 for better readability.

Conclusion

Merging JSON files can seem daunting, but with Python, it’s a straightforward task. This method will not only streamline your workflow but also keep your data organized. Whether you’re working on simple projects or larger applications, knowing how to effectively manage JSON files is a valuable skill.

Feel free to adapt the code and approach based on the structure and requirements of your specific JSON files. Happy coding!