How to Use numpy.delete() to Remove Columns from Multi-dimensional Arrays in Python

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Understanding the Problem

Imagine you have a complex list of arrays, often referred to as a list of lists, and you want to remove a specific column based on an index. For instance, you might have the following data structure, which contains pairs of arrays:

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

In this case, if you wanted to delete the third column from these arrays, the expected result would look something like this:

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

The Solution

Step-by-step Breakdown

Import the NumPy Library:
Make sure to import NumPy, as it contains the delete function you'll need.

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

Create Your Data Structure:
Define your list of arrays in the format you've described.

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

Deleting the Column:

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

Here’s how this code works:

We enumerate through the list, accessing both the index (idx) and the value (tpl).

Output the Result:
Finally, you can print the modified list.

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

Complete Code Example

Here's the entire code put together:

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

Expected Output

When you run the above code, you should receive an output like this:

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

Conclusion

By following the above steps, you can easily adapt this method to any array type or dimension, along with the index of the column you need to remove. Happy coding!
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