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Скачать или смотреть How to Efficiently Convert a List into a Dictionary in Python

  • vlogize
  • 2025-03-20
  • 1
How to Efficiently Convert a List into a Dictionary in Python
How to convert a List into Dictionary in Pythonpython 3.xlistdictionarydictionary comprehension
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Описание к видео How to Efficiently Convert a List into a Dictionary in Python

Discover the best methods to convert a list of dictionaries into a nested dictionary in Python, keeping data organized and easy to access.
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This video is based on the question https://stackoverflow.com/q/75985362/ asked by the user 'Victoria Le' ( https://stackoverflow.com/u/21096531/ ) and on the answer https://stackoverflow.com/a/76008225/ provided by the user 'Jabro' ( https://stackoverflow.com/u/20214407/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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 Efficiently Convert a List into a Dictionary in Python

Converting data from one structure to another is a common task in programming, particularly in Python where data is often represented using lists and dictionaries. This guide will walk you through an effective method of transforming a list of dictionaries into a nested dictionary, allowing you to maintain the relationship between the items and their properties.

The Problem: Converting a List of Dictionaries

Suppose you have a list of items represented as dictionaries, where each dictionary holds properties like name and color. Here’s an example of such a list:

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

Your goal is to convert this data into a single dictionary structured as follows:

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

In this format, each item name (e.g., shirt, pants, hat) is a key, and its associated colors are stored as lists.

The Solution: Step-by-Step Guide

To achieve this transformation, follow the steps below.

1. Initialize an Empty Dictionary

First, we will create an empty dictionary that will eventually hold our sorted items.

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

2. Iterate Through the List of Dictionaries

We’ll iterate through each dictionary in the items list:

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

3. Check if the Key Exists

For each item, we need to check if the item name (i.e., the value under the name key) already exists in our sorted_items dictionary. If it doesn’t exist, we initialize it as an empty list:

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

4. Append the Color

After checking for the key, we simply append the current color to the list:

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

Full Code Example

Below is the complete code implementing the above steps:

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

5. Using defaultdict from the Collections Module

For an easier approach, you can leverage the defaultdict from the collections module, which simplifies the code significantly as you don’t have to manually check if the key exists:

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

This will give the same output but is more efficient and concise.

Conclusion

By following the steps outlined above, you can easily convert a list of dictionaries into a nested dictionary using Python. Whether you choose to check for key existence manually or utilize defaultdict, both methods will help you achieve a well-organized transformation of your data.

Now, you can enjoy having your data neatly arranged for easy access and readability. Happy coding!

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