Input:
DataFrame employees
+---------+--------+| name | salary |+---------+--------+| Piper |4548|| Grace |28150|| Georgia |1103|| Willow |6593|| Finn |74576|| Thomas |24433|+---------+--------+ Output:+---------+--------+--------+| name | salary | bonus |+---------+--------+--------+| Piper |4548|9096|| Grace |28150|56300|| Georgia |1103|2206|| Willow |6593|13186|| Finn |74576|149152|| Thomas |24433|48866|+---------+--------+--------+ Explanation: A new column bonus is created by doubling the value in the column salary.## Solution
### Method 1– Using pandas DataFrame Assignment
#### Intuition
The key idea is to use pandas' ability to assign a new column directly to a DataFrame. By multiplying the `salary` column by 2, we efficiently create the `bonus` column.#### Approach
1. The function receives a DataFrame `employees`with columns `name` and `salary`.2. Assign a new column `bonus` as `employees["salary"] * 2`.3. Return the modified DataFrame.#### Code
#### Complexity
-⏰ Time complexity:`O(n)`, where n is the number of rows in employees, as each row is processed once.-🧺 Space complexity:`O(n)`,for storing the new DataFrame.