Скачать или смотреть Python Merge Two Lists of Dicts Efficiently

Learn how to easily merge two lists of dictionaries in Python where keys match, leveraging efficient algorithms for better performance.
---
This video is based on the question https://stackoverflow.com/q/66602058/ asked by the user 'bravinator932421' ( https://stackoverflow.com/u/10237028/ ) and on the answer https://stackoverflow.com/a/66603030/ provided by the user 'felipe' ( https://stackoverflow.com/u/1305461/ ) 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 merge two lists of dicts, where dict key matches

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.
---
Mastering Python: Merging Two Lists of Dictionaries

If you're working with data in Python, you might often find yourself needing to manipulate lists of dictionaries. This is especially the case when you want to merge information from two separate lists based on matching keys. In this guide, we’ll delve into merging two lists of dictionaries in Python, exploring a simple yet effective approach that covers various scenarios, including additional keys in either list.

The Problem Overview

Imagine you have two lists of dictionaries, each containing important data about users. For instance, the first list might include job details while the second contains demographic information. Here’s a simplified version of what those lists might look like:

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

Your goal is to merge these two lists into a single list that combines the job and demographic information wherever there is a matching key. Here's the desired output:

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

While looping through the lists is one way to achieve this, there is a more Pythonic approach that can simplify your code and improve performance.

The Solution: A Pythonic Merge Function

To merge the two lists more effectively, we can create a function that consolidates the data based on matching keys. Here’s how you can do it:

Step 1: Define the Merge Function

We’ll define a function that merges two lists of dictionaries. This function will utilize a helper function to handle the individual merging of the dictionaries:

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

Step 2: Executing the Function

Now that we have our merge function, we can call it with our two lists, first and second. Here’s the execution:

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

Output Explained

When you run the above code, the output will look like this:

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

Advantages of This Approach

Efficiency: This solution is more efficient than deeply nested loops and scales better with larger datasets.

Readability: By encapsulating the logic within a function, your code remains clean and understandable.

Flexibility: It gracefully handles scenarios where one list may contain keys that the other does not.

Conclusion

Merging two lists of dictionaries in Python can be performed easily and efficiently with the right approach. By using a function that consolidates data based on matching keys, we can streamline our code and reduce complexity. Whether you’re handling user data, records, or any other dictionary values, mastering this technique will enhance your data processing capabilities in Python.

Now, it's time to put this knowledge into practice! Try merging lists of dictionaries in your own Python projects and discover how effective this solution can be.