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Скачать или смотреть How to Identify and Remove Duplicates from a List in a Nested Dictionary in Python

  • vlogize
  • 2025-09-08
  • 0
How to Identify and Remove Duplicates from a List in a Nested Dictionary in Python
Parse List in nested dictionary Pythonpythonlist comprehensiondictionary comprehensionpython jsonschema
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Описание к видео How to Identify and Remove Duplicates from a List in a Nested Dictionary in Python

Learn how to identify keys with list values in a nested dictionary and remove duplicates easily using Python.
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This video is based on the question https://stackoverflow.com/q/63370966/ asked by the user 'Siddu Kattimani' ( https://stackoverflow.com/u/10173415/ ) and on the answer https://stackoverflow.com/a/63371093/ provided by the user 'Arun Kaliraja Baskaran' ( https://stackoverflow.com/u/7534349/ ) 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: Parse List in nested dictionary Python

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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 Identify and Remove Duplicates from a List in a Nested Dictionary in Python

In the world of programming, especially with Python, dealing with data structures is a routine task. One common challenge that programmers face is identifying the values associated with keys in nested dictionaries, especially when those values are lists. In this guide, we explore how to navigate through a nested dictionary in Python to identify list-type values and remove any duplicates from these lists.

The Problem

Consider the following nested dictionary structure that contains various kinds of data, including lists:

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

The primary question here is: How can we identify which keys hold list values and remove duplicates from those lists?

The Solution

To tackle this problem, we can create a recursive function that traverses through the dictionary at any depth and checks the type of each value. If it encounters a list, it will convert it into a set (to remove duplicates) and then back into a list.

Steps to Create the Function

Define the Recursive Function: Start by defining a function that takes the dictionary as its argument.

Loop Through the Dictionary: Use a for loop to iterate over each key-value pair in the dictionary.

Check the Type of Value: Use isinstance to check if the value is a dictionary, list, or another type.

Handle Lists: If a list is found, convert it into a set and back to a list to remove duplicates.

Recursion for Nested Items: If the value is another dictionary, call the function recursively on that sub-dictionary.

Sample Implementation

Here’s a Python function that accomplishes our goal:

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

How to Use the Function

Now that we have defined our function, we can apply it to our dictionary data:

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

Output

After executing the function, the modified dictionary looks like this:

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

Conclusion

Identifying list values in nested dictionaries can be daunting, but with a simple recursive function, you can achieve this easily and efficiently. By converting lists to sets, we can also effectively remove duplicates, ensuring that your data remains clean and well-organized. Happy coding!

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