drop_missing_data.py

'''
2883. Drop Missing Data
Solved
Easy
Companies
Hint

DataFrame students
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| student_id  | int    |
| name        | object |
| age         | int    |
+-------------+--------+

There are some rows having missing values in the name column.
Write a solution to remove the rows with missing values.
The result format is in the following example.

Example 1:
Input:
+------------+---------+-----+
| student_id | name    | age |
+------------+---------+-----+
| 32         | Piper   | 5   |
| 217        | None    | 19  |
| 779        | Georgia | 20  |
| 849        | Willow  | 14  |
+------------+---------+-----+
Output:
+------------+---------+-----+
| student_id | name    | age |
+------------+---------+-----+
| 32         | Piper   | 5   |
| 779        | Georgia | 20  | 
| 849        | Willow  | 14  | 
+------------+---------+-----+
Explanation: 
Student with id 217 havs empty value in the name column, so it will be removed.
'''

import pandas as pd

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    students.dropna(axis = 0, subset = ["name"], inplace = True)
    return students