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Скачать или смотреть Finding the Order Number of Duplicates in a List: A Python Guide

  • vlogize
  • 2025-05-26
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Finding the Order Number of Duplicates in a List: A Python Guide
How to find the order number of item inside of a list (have duplicates)pythonlist
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Описание к видео Finding the Order Number of Duplicates in a List: A Python Guide

Discover how to easily find the `index positions` of duplicate items in a Python list using list comprehension and the enumerator function.
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This video is based on the question https://stackoverflow.com/q/70265184/ asked by the user 'Ali' ( https://stackoverflow.com/u/12406291/ ) and on the answer https://stackoverflow.com/a/70265369/ provided by the user 'Samwise' ( https://stackoverflow.com/u/3799759/ ) 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: How to find the order number of item inside of a list (have duplicates)

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.

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Finding the Order Number of Duplicates in a List: A Python Guide

Have you ever faced a situation where you need to find the index positions of duplicate items in a Python list? If so, you're not alone! Many programmers encounter this issue, particularly when working with datasets containing repeated entries. In this guide, we will explore a simple and effective way to achieve this using Python's built-in capabilities.

The Problem

Let’s say you have a list that contains several elements, including duplicates. Here’s an example:

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

In this list, the letter 'a' appears twice — once at index position 0 and once again at index position 3. If you're looking to find all the index positions of the letter 'a', you may initially think to use the index() method:

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

However, this method only returns the first occurrence, which in this case is 0.

The Challenge

The question arises: How can we obtain all the index numbers of an item that appears multiple times in a list? This is where we’ll explore a solution!

The Solution

To find the index positions of an element that appears multiple times in a list, we will use the enumerate() function combined with a list comprehension. Here's how it works:

Step-by-Step Breakdown

Understand enumerate():

This built-in function will allow us to loop over a list while keeping track of the index of each item. It returns both the index and the corresponding value from the list.

Use List Comprehension:

This concise way of creating lists enables us to filter through the items and collect the indices that match our target element.

Here’s the Code

With the above concepts in mind, here’s how you can implement the solution:

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

Explanation of the Code

enumerate(lst) gives us pairs of index and value for each item in the list.

for i, c in enumerate(lst) iterates through these pairs, where i represents the index and c represents the current value.

The condition if c == 'a' filters these pairs to only include the index where the value equals 'a'.

The result is a list of indices where 'a' occurs:

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

Conclusion

Finding the indices of an item in a list, especially when duplicates are involved, is both an interesting challenge and a common task in programming. Using Python's enumerate() and list comprehension, you can efficiently gather all index positions of any given element.

Next time you find yourself in a similar situation, remember this handy method! Now you can confidently handle lists with duplicates and extract all necessary indices.

Happy coding!

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