Reshaping and Stacking

Reshaping and stacking NumPy arrays involve modifying the shape or size of an array or amalgamating multiple arrays into a single array. NumPy offers a variety of functions for these purposes, such as:

• reshape(): Alters an array to a new shape without changing its data;
• resize(): Changes an array's size to a new shape, which can lead to the addition or removal of elements;
• vstack(): Vertically stacks arrays (row-wise) to form a single array;
• hstack(): Horizontally stacks arrays (column-wise) to create a single array;
• concatenate(): Joins arrays along a specified axis;
• stack(): Layers arrays along a new axis, adding a dimension.