Performing Element-Wise Operations on NumPy arrays

It’s easy to perform element-wise operations on multiple NumPy arrays of the same dimensions. For example, you can add the base_salary and bonus arrays together to determine the total amount paid each month to each employee:

salary_bonus = base_salary + bonus

print(type(salary_bonus))

print(salary_bonus)

As you can see, the addition operation is a one-liner. The resulting dataset is a NumPy array too, in which each element is the sum of the corresponding elements in the base_salary and bonus arrays:    

<class 'NumPy.ndarray'>

[[3200 3400 3400]

[3200 3100 3200]

[2500 3000 2900]]