Earlier, we mentioned how you can change the type of the elements of an array. We will now shortly stop for a while to examine the most common instructions to modify the shape of an existing array.
Let's start with an example that uses the .reshape method, which accepts an n-tuple containing the size of the new dimensions as a parameter:
In: import numpy as np # Restructuring a NumPy array shape original_array = np.array([1, 2, 3, 4, 5, 6, 7, 8]) Array_a = original_array.reshape(4,2) Array_b = original_array.reshape(4,2).copy() Array_c = original_array.reshape(2,2,2) # Attention because reshape creates just views, not copies original_array[0] = -1
Our original array is a unidimensional vector of integer numbers from 1 to 8. ...
