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2885. Rename Columns

Description

 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.

Solutions

• Python

• import pandas as pd def renameColumns(students: pd.DataFrame) -> pd.DataFrame: students.rename( columns={ 'id': 'student_id', 'first': 'first_name', 'last': 'last_name', 'age': 'age_in_years', }, inplace=True, ) return students 

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