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Скачать или смотреть How to Iterate Over Two List of Lists in Python

  • vlogize
  • 2025-04-05
  • 0
How to Iterate Over Two List of Lists in Python
Iterating over two list of lists getting the same element of each inner listpythonloopsiteration
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Описание к видео How to Iterate Over Two List of Lists in Python

Learn how to efficiently iterate over two list of lists in Python, extracting corresponding elements with our easy-to-follow examples.
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This video is based on the question https://stackoverflow.com/q/72784536/ asked by the user 'FZL' ( https://stackoverflow.com/u/18187300/ ) and on the answer https://stackoverflow.com/a/72784871/ provided by the user 'bui' ( https://stackoverflow.com/u/8990644/ ) 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: Iterating over two list of lists, getting the same element of each inner list

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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 Iterate Over Two List of Lists in Python: A Step-by-Step Guide

When working with nested data structures in Python, you might find yourself needing to iterate through two lists of lists simultaneously. This situation often arises in scenarios such as interfacing with APIs, where you have multiple sets of coordinates that need to be processed in tandem, as in the case with the ETABS API.

In this guide, we'll walk through the problem definition and show you how to implement a solution that retrieves elements from each inner list efficiently.

Understanding the Problem

Suppose you have two lists of coordinates represented as X and Y, where both lists contain 5 inner lists (or sublists), each with 5 elements. The goal is to iterate over these inner lists to use their corresponding elements (x, y coordinates) to call a function that requires multiple pairs of points, for instance, creating geometrical structures in a modeling tool like ETABS.

Here’s how the lists look:

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

The Output Requirement

You want to generate a series of calls to the SapModel.FrameObj.AddByCoord function for each combination of points from lists X and Y.

The output of this function should resemble:

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

Implementing the Solution

You can use Python’s zip function to easily iterate over the lists of lists. Here are two effective methods to achieve the desired output:

Method 1: Basic Zip Iteration

Using zip, we can combine the elements of X and Y along with their subsequent sublists. Here's how you can implement it:

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

Explanation of the Code:

The outer zip creates pairs (or tuples) of corresponding inner lists from X and Y, and their subsequent inner lists (e.g., first with the second).

The inner loop again zips the individual inner lists together, allowing the iteration over their elements.

Method 2: Advanced Zip with Unpacking

If you want to ensure that you’re accessing elements in the exact order as you expressed initially, consider this slightly more complex approach:

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

Breakdown:

Here, zip(*X) effectively "transposes" the list of lists, turning rows into columns, which can simplify the structure you are iterating through.

This maintains the order and can produce output in the same format as shown in your requirements.

Conclusion

Iterating over two lists of lists in Python doesn't have to be a complicated task. With the use of zip, you can create elegant solutions to extract corresponding elements seamlessly. The above methods will help you integrate efficiently with APIs like ETABS or any situation where you need synchronized processing of multi-dimensional data.

Feel free to modify the examples according to your needs, and happy coding!

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