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Скачать или смотреть How to List Unique Elements in Python while Preserving Order

  • vlogize
  • 2025-08-21
  • 2
How to List Unique Elements in Python while Preserving Order
List unique elements preserving order. Remember only the element just seenpython
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Описание к видео How to List Unique Elements in Python while Preserving Order

Learn how to effectively eliminate duplicate nested tuples in Python lists while maintaining order, using simple and efficient code techniques.
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This video is based on the question https://stackoverflow.com/q/64106553/ asked by the user 'khaled koubaa' ( https://stackoverflow.com/u/14241968/ ) and on the answer https://stackoverflow.com/a/64106652/ provided by the user 'alani' ( https://stackoverflow.com/u/13596037/ ) 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: List unique elements, preserving order. Remember only the element just seen

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.
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How to List Unique Elements in Python while Preserving Order

In the world of programming, especially when dealing with data manipulation, one common challenge is the need to filter a list to include only unique elements. This can become particularly tricky when working with nested tuples where you want to eliminate duplicates based on specific criteria while also preserving the original order.

The Problem

Imagine you have a list of nested tuples, each containing a mix of values. Your task is to remove any duplicates based on the first and last values of those tuples. Importantly, you need to maintain the original sequence from the list. For instance, starting with the following list:

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

You might expect the output to look like this:

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

The Solution

To achieve this, the key is to compare each element in the list against the most recently added element in our resulting list. We can implement this using a simple loop and conditional checks. Here’s how to do it step by step:

Step-by-Step Code Implementation

Initialize an empty list to hold your unique tuples.

Iterate through each tuple in your original list.

Check conditions:

If your output list is empty, or the current tuple's first or last element does not match the last added tuple's first or last elements, then append the current tuple to your output list.

Print the output list to see the results.

Here’s the efficient code implementing this logic:

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

Explanation of Code

out = [] initializes an empty list called out where we will collect our unique tuples.

The for loop iterates over each tuple, referred to as el.

The condition in the if statement ensures that if out is empty or the current tuple's first or last element differs from the last tuple in out, the current tuple gets appended to out.

By using out[-1], we access the last element added to our output, allowing us to effectively compare and filter duplicates.

Result

Running the provided code will yield the following output:

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

This result successfully eliminates the duplicates while maintaining the order of the tuples based on their original appearance in the list.

Conclusion

Filtering unique elements from a list of nested tuples in Python is straightforward with the right approach. By carefully checking against the last added element, we can efficiently manage duplicate entries and keep our data clean and organized. This technique can be a valuable tool in your programming toolkit, particularly for data analysis and processing tasks.

With this understanding, you can now handle similar challenges with ease. Happy coding!

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