Next, we have used the np.flipud() function to flip the X array vertically. The resulting array after flipping X upside down is a 3x3 square diagonal matrix where the diagonal elements are in reverse order i.e.,
The numpy.flipud() function flips the elements of the array upside down. The numpy.flipud() function takes the array as an argument and returns the reverse of that array. See the following code example.import numpy as np array = np.array([1, 2, 3, 4, 5]) reverse = np.flipud(...
A read-only array should be a super-type of a regular array. Using a regular array in a context that expects a read-only one should be fine. Using a read-only one in a context that expects a regular array should fail, because that would break the guarantee that it won't be written...