How to Compare Two JSONs in Python

Learn how to effectively `compare two JSON objects` in Python and extract repeated items using simple coding techniques.
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How to Compare Two JSONs in Python: A Step-by-Step Guide

In the world of data processing, we often come across situations where we need to compare different datasets. One such situation arises when dealing with JSON (JavaScript Object Notation) data structures. In this guide, we're going to tackle a common problem: how to compare two separate JSON objects and retain only the objects that appear in both.

The Problem Statement

Imagine you have two JSON objects:

JSON Object A comes from an intermediate processing stage, and contains several entries with unique IDs and additional information about each entry.

JSON Object C is another list containing IDs, and you want to see which items from JSON Object A are also present in JSON Object C.

Here are the JSON structures as given:

JSON Object A

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JSON Object C

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Expected Output

From this comparison, you would like to isolate the entries in JSON Object A that also exist in JSON Object C. The expected output should look like this:

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The Solution

To achieve this, we can use Python to programmatically compare the two JSON objects. We'll use list comprehensions for a succinct solution. Let's break down the steps required:

Step 1: Extract IDs from JSON Object C

The first step is to create a list of IDs from JSON Object C. This is important because we'll use these IDs to find matches in JSON Object A.

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Step 2: Filter JSON Object A

Next, we will filter JSON Object A to include only those entries whose ID exists in the list we created from JSON Object C.

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Step 3: Print the Results

Finally, we can print out the filtered results:

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Full Code Snippet

By combining the above steps, we get the complete code as follows:

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Conclusion

Using these simple Python techniques, we've been able to efficiently compare two JSON objects and extract the data that matches between them. This method is particularly useful in data handling tasks where filtering through large datasets is necessary.

The next time you find yourself needing to compare JSON objects, you can refer back to this guide and implement the solution with ease!