{ "data": { "question": { "questionId": "3068", "questionFrontendId": "2885", "boundTopicId": null, "title": "Rename Columns", "titleSlug": "rename-columns", "content": "
\nDataFrame students\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| id          | int    |\n| first       | object |\n| last        | object |\n| age         | int    |\n+-------------+--------+\n
\n\n

Write a solution to rename the columns as follows:

\n\n\n\n

The result format is in the following example.

\n\n

 

\n
\nExample 1:\nInput:\n+----+---------+----------+-----+\n| id | first   | last     | age |\n+----+---------+----------+-----+\n| 1  | Mason   | King     | 6   |\n| 2  | Ava     | Wright   | 7   |\n| 3  | Taylor  | Hall     | 16  |\n| 4  | Georgia | Thompson | 18  |\n| 5  | Thomas  | Moore    | 10  |\n+----+---------+----------+-----+\nOutput:\n+------------+------------+-----------+--------------+\n| student_id | first_name | last_name | age_in_years |\n+------------+------------+-----------+--------------+\n| 1          | Mason      | King      | 6            |\n| 2          | Ava        | Wright    | 7            |\n| 3          | Taylor     | Hall      | 16           |\n| 4          | Georgia    | Thompson  | 18           |\n| 5          | Thomas     | Moore     | 10           |\n+------------+------------+-----------+--------------+\nExplanation: \nThe column names are changed accordingly.
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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

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