How to reshape an array using np.tile in Python

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The Problem Statement

Suppose you have a NumPy array X with the following structure and shape (2, 5):

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The goal is to reshape this array such that each row is repeated n times. For example, if n is 3, the desired output would look like this:

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

You'll quickly find that it does not yield the expected output, instead repeating the entire array rather than individual rows.

The Solution

Step 1: Define Your Array

Start by defining your original array:

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Now, you simply need to repeat each row of the array. Here’s how to do it:

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Step 3: Output the Result

Your final output will now correctly display the desired repeated rows:

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This will yield:

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

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

While this approach gets the job done, it introduces unnecessary complexity and extra operations.

Conclusion

Feel free to experiment with different values of n to see how the outcome changes and get familiar with NumPy's powerful reshaping capabilities!