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2883. Drop Missing Data
Description
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.
Solutions
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import pandas as pd def dropMissingData(students: pd.DataFrame) -> pd.DataFrame: return students[students['name'].notnull()]