1+ """
2+ 2886. Change Data Type
3+ Solved
4+ Easy
5+ Companies
6+ Hint
7+
8+ DataFrame students
9+ +-------------+--------+
10+ | Column Name | Type |
11+ +-------------+--------+
12+ | student_id | int |
13+ | name | object |
14+ | age | int |
15+ | grade | float |
16+ +-------------+--------+
17+
18+ Write a solution to correct the errors:
19+
20+ The grade column is stored as floats, convert it to integers.
21+
22+ The result format is in the following example.
23+
24+ Example 1:
25+ Input:
26+ DataFrame students:
27+ +------------+------+-----+-------+
28+ | student_id | name | age | grade |
29+ +------------+------+-----+-------+
30+ | 1 | Ava | 6 | 73.0 |
31+ | 2 | Kate | 15 | 87.0 |
32+ +------------+------+-----+-------+
33+ Output:
34+ +------------+------+-----+-------+
35+ | student_id | name | age | grade |
36+ +------------+------+-----+-------+
37+ | 1 | Ava | 6 | 73 |
38+ | 2 | Kate | 15 | 87 |
39+ +------------+------+-----+-------+
40+ Explanation:
41+ The data types of the column grade is converted to int.
42+ """
43+ 44+ import pandas as pd
45+ 46+ def changeDatatype (students : pd .DataFrame ) -> pd .DataFrame :
47+ students ['grade' ] = students ['grade' ].astype (int )
48+ return students
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