What is the difference between resize and reshape when using arrays in NumPy?
reshape() is able to change the shape only (i.e. the meta info), not the number of elements.
If the array has five elements, we may use e.g. reshape(5, ), reshape(1, 5),
reshape(1, 5, 1), but not reshape(2, 3).

reshape() in general don't modify data themselves, only meta info about them,

the .reshape() method (of ndarray) returns the reshaped array, keeping the original array untouched.



resize() is able to change both the shape and the number of elements, too.
So for an array with five elements we may use resize(5, 1), but also resize(2, 2) or resize(7, 9).

The .resize() method (of ndarray) returns None, changing only the original array (so it seems as an in-place change).
I have just started using NumPy. What is the difference between resize and reshape for arrays?