DataFrame students
±------------±-------+
| Column Name | Type |
±------------±-------+
| id | int |
| first | object |
| last | object |
| age | int |
±------------±-------+
编写一个解决方案,按以下方式重命名列:
id 重命名为 student_id
first 重命名为 first_name
last 重命名为 last_name
age 重命名为 age_in_years
返回结果格式如下示例所示。
示例 1:
输入:
±—±--------±---------±----+
| id | first | last | age |
±—±--------±---------±----+
| 1 | Mason | King | 6 |
| 2 | Ava | Wright | 7 |
| 3 | Taylor | Hall | 16 |
| 4 | Georgia | Thompson | 18 |
| 5 | Thomas | Moore | 10 |
±—±--------±---------±----+
输出:
±-----------±-----------±----------±-------------+
| 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 |
±-----------±-----------±----------±-------------+
解释:
列名已相应更换。
用DataFrame的rename方法即可:
import pandas as pddef renameColumns(students: pd.DataFrame) -> pd.DataFrame:students = students.rename(columns = {"id" : "student_id","first" : "first_name","last" : "last_name","age" : "age_in_years",})return students