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Скачать или смотреть Creating a New Matrix Based on User Input in Python

  • vlogize
  • 2025-08-08
  • 0
Creating a New Matrix Based on User Input in Python
Creating a new matrix under specified condition from user inputted matrixpythonmatrix
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Описание к видео Creating a New Matrix Based on User Input in Python

Learn how to create a new matrix in Python that counts how many adjacent elements are greater or equal to each element in an original matrix.
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This video is based on the question https://stackoverflow.com/q/65266075/ asked by the user 'Filip Vuskovic' ( https://stackoverflow.com/u/7711531/ ) and on the answer https://stackoverflow.com/a/65267628/ provided by the user 'Filip Vuskovic' ( https://stackoverflow.com/u/7711531/ ) 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: Creating a new matrix under specified condition from user inputted matrix

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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Creating a New Matrix Based on User Input in Python

If you're a newcomer to Python and working with matrices has you puzzled, you're not alone. Many budding programmers find it challenging to manipulate matrices, especially when it involves deriving new data based on specific conditions. In this guide, we'll tackle a common problem: how to create a new matrix that counts how many adjacent elements are greater than or equal to each element in a user-inputted matrix.

Understanding the Problem

Consider the following example of a 3x3 matrix provided by the user:

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

The goal is to produce a new matrix that reflects the count of adjacent elements (including diagonals) that are greater than or equal to each corresponding element in the original matrix. For instance:

For 9: The adjacent values are 3 and 0, which gives us a count of 2 since 9 is greater than both.

For 14: All adjacent values are less than 14, resulting in a count of 5.

The expected output matrix would look like this:

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

Steps to Create the Solution

Step 1: Get User Input

You’ve already made a great start by obtaining the user input for the matrix dimensions and elements. Here’s a revised snippet of your code that does just that:

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

Step 2: Define Neighbor Elements Function

Next, we need to define a function that retrieves the adjacent elements for a given position in the matrix. This function will handle edge cases and ensure we don’t go out of bounds:

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

Step 3: Create the New Matrix

With the helper function in place, we can iterate through the original matrix and fill the new matrix based on the counts of neighbors:

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

Step 4: Print the Resulting Matrix

Lastly, you will want to print the new matrix to check your work:

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

Full Integration

Here is how you would put everything together in your main program:

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

Conclusion

In summary, you have successfully created a program that takes a user-inputted matrix and constructs a new matrix based on the relationship of its elements to their neighbors. Not only have you learned how to work with matrices, but you’ve also developed valuable skills using functions and edge case handling in Python. Keep practicing, and you’ll only improve from here!

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