Transforming JSON: Copying Objects with Multiple Values into a Single Structure

Learn how to efficiently copy JSON objects with multiple values and merge them into a single structure using Python.
---

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: copy json objects and add to main json object, if keys has more than one value

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Transforming JSON: Copying Objects with Multiple Values into a Single Structure

In today's digital world, working with JSON (JavaScript Object Notation) has become essential for developers and data analysts alike. However, manipulating JSON data isn't always straightforward, especially when you have keys containing multiple values. Today, we will tackle a common problem: how to copy JSON objects and add them to a main JSON object whenever a key has more than one value.

The Problem

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

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

Understanding the Key Components

JSON Format: This format allows you to store data as key-value pairs in a structured way.

Keys with Multiple Values: The challenge arises when a key (like "number") holds an array with more than one element.

Desired Output: Each unique value from the key with multiple values should be created as a new JSON object while retaining all other fields.

The Solution

To address this issue, we'll use Python’s json module and the deepcopy function. Here’s a step-by-step guide on how to do it:

Step 1: Importing Required Libraries

We begin by importing the necessary libraries:

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

Step 2: Loading the JSON File

Next, we need to open and load our JSON data:

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

Step 3: Extracting the Values

We extract the "number" values from the JSON structure:

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

Step 4: Creating Deep Copies

Here, we create a deep copy of the original JSON object for each value in the "number" array. A deep copy ensures that changes to copied objects do not affect the original object.

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

Step 5: Updating the Values

Now, we loop through the values and update each copied structure with an individual number from the array:

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

Step 6: Displaying the Output

Finally, we use the pprint function to print the resulting list of dictionaries:

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

The output will be as desired:

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

Conclusion

By following these steps, you can effectively transform a JSON object with keys containing multiple values into a well-structured collection of individual objects in JSON format. This process not only enhances the organization of your data but also makes it easier to work with in various applications. Happy coding!