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Скачать или смотреть How to Combine Lists of Dictionaries in Python Using Specific Value Matches

  • vlogize
  • 2025-05-25
  • 0
How to Combine Lists of Dictionaries in Python Using Specific Value Matches
Combine lists of dictionaries with specific value matchespythonlistdictionary
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Описание к видео How to Combine Lists of Dictionaries in Python Using Specific Value Matches

This guide explains how to merge two lists of dictionaries in Python based on specific key value matches. Learn step-by-step the solution for combining elements with matching 'code'.
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This video is based on the question https://stackoverflow.com/q/72242676/ asked by the user 'ikshi' ( https://stackoverflow.com/u/11275173/ ) and on the answer https://stackoverflow.com/a/72243224/ provided by the user 'Andrej Kesely' ( https://stackoverflow.com/u/10035985/ ) 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: Combine lists of dictionaries with specific value matches

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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.

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How to Combine Lists of Dictionaries in Python Using Specific Value Matches

When working with data in Python, you may often find yourself needing to merge lists of dictionaries based on specific criteria. A common situation arises when you want to combine these lists but only include the elements that share a matching value for a specific key—in this case, the 'code' key.

The Problem

Let's look at a scenario where you have two lists of dictionaries, a_list and b_list:

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

Your goal is to produce a third list, c_list, that combines elements from a_list and b_list where the 'code' values match. The expected output should look like this:

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

While trying to use a library like NumPy for this task would typically introduce complications due to mismatched lengths and orders of elements, you can achieve this straightforwardly using native Python features.

The Solution

Here's a clear and effective method to perform this operation:

Step 1: Initialize an Output Dictionary

Start by creating an empty dictionary to hold the merged results. This approach allows us to handle duplicated keys seamlessly—it will automatically overwrite any previous values for the same key during iterations.

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

Step 2: Combine the Lists

Next, iterate over both a_list and b_list simultaneously to populate the output dictionary. Use a single iteration loop to access each dictionary in both lists:

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

Step 3: Convert Back to a List

After the loop, out will contain all the merged dictionaries, grouped by the 'code' key. Finally, convert the output dictionary's values back into a list format:

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

Final Code Example

Putting it all together, the code looks like this:

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

Result

When you run the above code, it outputs:

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

Summary

Combining lists of dictionaries in Python based on specific value matches can be achieved effortlessly with a few lines of code. By using a dictionary to consolidate entries based on the 'code' key and merging values, you can create a well-structured output list. Python's powerful dictionary comprehension and merging capabilities make this task easy, even without resorting to external libraries.

With this method, you can efficiently manipulate and merge data structures, paving the way for more complex data analysis tasks in your Python projects!

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