Rename Columns

DataFrame students
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| id          | int    |
| first       | object |
| last        | object |
| age         | int    |
+-------------+--------+

Write a solution to rename the columns as follows:

• id to student_id
• first to first_name
• last to last_name
• age to age_in_years

The result format is in the following example.

 

Example 1:
Input:
+----+---------+----------+-----+
| id | first   | last     | age |
+----+---------+----------+-----+
| 1  | Mason   | King     | 6   |
| 2  | Ava     | Wright   | 7   |
| 3  | Taylor  | Hall     | 16  |
| 4  | Georgia | Thompson | 18  |
| 5  | Thomas  | Moore    | 10  |
+----+---------+----------+-----+
Output:
+------------+------------+-----------+--------------+
| student_id | first_name | last_name | age_in_years |
+------------+------------+-----------+--------------+
| 1          | Mason      | King      | 6            |
| 2          | Ava        | Wright    | 7            |
| 3          | Taylor     | Hall      | 16           |
| 4          | Georgia    | Thompson  | 18           |
| 5          | Thomas     | Moore     | 10           |
+------------+------------+-----------+--------------+
Explanation: 
The column names are changed accordingly.

Example Testcases:

{"headers":{"students":["id","first","last","age"]},"rows":{"employees":[],"students":[[1,"Mason","King",6],[2,"Ava","Wright",7],[3,"Taylor","Hall",16],[4,"Georgia","Thompson",18],[5,"Thomas","Moore",10]]}}