What is the difference between reshape and resize in NumPy?

What is the difference between reshape and resize in NumPy?

In NumPy, reshape changes the shape of an array without changing its data, while resize can change the shape and may alter the data.

Can you give an example of how to use both functions?

Sure! For reshape, you can use array.reshape(2, 3) to change a 1D array into a 2D array. For resize, you can use array.resize(2, 3) which will modify the original array.

Are there any limitations to using reshape?

Yes, reshape requires that the new shape must have the same number of elements as the original array. If not, it will raise an error.

What happens if I use resize with a shape that has fewer elements?

If you use resize with fewer elements, it will truncate the array. If you specify a larger shape, it will fill the new elements with zeros.