Скачать или смотреть How to Complete JSON Objects in Python Using Data from Another JSON File

Learn how to `combine JSON data` from two files in Python, appending values and replacing existing attributes in a structured way.
---
This video is based on the question https://stackoverflow.com/q/71471707/ asked by the user 'user3311337' ( https://stackoverflow.com/u/3311337/ ) and on the answer https://stackoverflow.com/a/71474263/ provided by the user 'furas' ( https://stackoverflow.com/u/1832058/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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: python complete json objects in file from another json file

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Complete JSON Objects in Python Using Data from Another JSON File

As our digital landscape grows richer and more complex, so does the need for effective data manipulation techniques. One common task developers encounter is merging or completing data between JSON files.

The Problem

Imagine you have two JSON files, file1.json and file2.json. Both files contain data objects that share the same structure, yet they may contain different values in their respective lists. Your goal is to populate file1 with additional data from file2, ensuring that the list values from file2 are appended to the corresponding lists in file1. Furthermore, you'll need to replace certain attributes in file1 with values from file2.

Example JSON Structure

For clarification, here’s a simplified structure of your JSON:

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

Both files have the same number of objects, attributes, and arrangements, making the merging process straightforward. The challenge lies in effectively implementing this in Python.

The Solution

Let’s dive into how you can realize this in Python. We’ll use a combination of for loops, the zip() function, and list extensions to achieve our goal.

Step-by-Step Guide

Load the JSON Data
First, load your JSON data from the files into Python objects.

Merging Data with zip()
Utilize the zip() function to iterate over both JSON objects simultaneously. This ensures you’re working with corresponding elements.

Appending and Replacing Values
Use list extension methods (+ = or .extend()) to add entries from file2 to file1. For scalar attributes (non-lists), simply assign the values from file2 to file1.

Here’s a simple implementation in Python:

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

Explanation of the Code

Loading Data: This example is simulated within the code. In a real scenario, you would typically read the data from JSON files using json.load().

Merging Logic:

The for loop iterates through the zipped pairs of records.

List values are concatenated using the + = operator.

Non-list attributes are directly replaced with those from the second file.

Shortening the Code with Inner Loops

If you want to make the code reusable and cleaner, you can wrap the attribute handling into a loop:

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

Handling Different Orders of Data

In case the order of symbols in the JSON files does not match, consider sorting both lists by their symbols before merging:

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

If there are any additional symbols in file2 that are not in file1, you may need to implement logic to check for these and potentially add them too.

Conclusion

Merging JSON data in Python can be made simple with a clear understanding of how to manipulate lists and dictionaries. By taking advantage of the zip() function and list operations, you can efficiently enhance your JSON datasets as required.

Feel free to adapt this method for your own JSON structures. Happy coding!