Easy
DataFrame students
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| student_id | int |
| name | object |
| age | int |
| grade | float |
+-------------+--------+
Write a solution to correct the errors:
The grade
column is stored as floats, convert it to integers.
The result format is in the following example.
Example 1: Input: DataFrame students:
+------------+------+-----+-------+
| student_id | name | age | grade |
+------------+------+-----+-------+
| 1 | Ava | 6 | 73.0 |
| 2 | Kate | 15 | 87.0 |
+------------+------+-----+-------+
Output:
+------------+------+-----+-------+
| student_id | name | age | grade |
+------------+------+-----+-------+
| 1 | Ava | 6 | 73 |
| 2 | Kate | 15 | 87 |
+------------+------+-----+-------+
Explanation: The data types of the column grade is converted to int.
import pandas as pd
def changeDatatype(students: pd.DataFrame) -> pd.DataFrame:
students['grade'] = students['grade'].astype(int)
return students