1+ """
2+ 2883. Drop Missing Data
3+ Solved
4+ Easy
5+ Companies
6+ Hint
7+ DataFrame students
8+ +-------------+--------+
9+ | Column Name | Type |
10+ +-------------+--------+
11+ | student_id | int |
12+ | name | object |
13+ | age | int |
14+ +-------------+--------+
15+ There are some rows having missing values in the name column.
16+
17+ Write a solution to remove the rows with missing values.
18+
19+ The result format is in the following example.
20+
21+ Example 1:
22+
23+ Input:
24+ +------------+---------+-----+
25+ | student_id | name | age |
26+ +------------+---------+-----+
27+ | 32 | Piper | 5 |
28+ | 217 | None | 19 |
29+ | 779 | Georgia | 20 |
30+ | 849 | Willow | 14 |
31+ +------------+---------+-----+
32+ Output:
33+ +------------+---------+-----+
34+ | student_id | name | age |
35+ +------------+---------+-----+
36+ | 32 | Piper | 5 |
37+ | 779 | Georgia | 20 |
38+ | 849 | Willow | 14 |
39+ +------------+---------+-----+
40+ Explanation:
41+ Student with id 217 havs empty value in the name column, so it will be removed."
42+ """
43+ 44+ import pandas as pd
45+ 46+ def dropMissingData (students : pd .DataFrame ) -> pd .DataFrame :
47+ return students .dropna (subset = "name" )
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