Can we perform operations between 1-D and 2-D NumPy Arrays?
Yes, when performing an operation between a 1-D and a 2-D NumPy Array, it will essentially perform the operation on the 1-D array with each row of the 2-D Array individually.
As a result, it is only possible if the number of elements for every row in both Arrays match.
For example, these two arrays have 2 elements in each row, so you can perform an operation on them.
# When we perform an operation on these arrays, # it is essentially running the operation # on each row of the 2-D list with the 1-D list. arr1 = np.array([[1, 1], [2, 2], [3, 3]]) arr2 = np.array([10, 10]) arr1 * arr2 # The result of running the above is # [[10 10] # [20 20] # [30 30]]