7. Iterate through the array using np.nditer and print out each value. 8. Write a function to multiply a matrix with a vector on the right. Do this with a loop and using nditer. In the next lab, we will see a faster way to compute this. For example to write a function to print the elements of a matrix using a loop, we write def print_matrix(x): if len(x.shape) != 2: print("x must be a two-dimensional array.") return None for i in range(x.shape[@]): for j in range(x.shape[1]): print(x[i,j]," ", end = "') print(" ") 9. In a 2-d array (matrix), write a function that returns the diagonal elements as an array. Ask your TA to illustrate the diagonal elements for a rectangular array before you begin. 7. Iterate through the array using np.nditer and print out each value. 8. Write a function to multiply a matrix with a vector on the right. Do this with a loop and using nditer. In the next lab, we will see a faster way to compute this. For example to write a function to print the elements of a matrix using a loop, we write def print_matrix(x): if len(x.shape) != 2: print("x must be a two-dimensional array.") return None for i in range(x.shape[@]): for j in range(x.shape[1]): print(x[i,j]," ", end = "') print(" ") 9. In a 2-d array (matrix), write a function that returns the diagonal elements as an array. Ask your TA to illustrate the diagonal elements for a rectangular array before you begin