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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 | Grace | 19 | | 779 | None | 20 | | 849 | None | 14 | +------------+-------+-----+ Output: +------------+-------+-----+ | student_id | name | age | +------------+-------+-----+ | 32 | Piper | 5 | | 217 | Grace | 19 | +------------+-------+-----+ Explanation: Students with ids 779 and 849 have empty values in the name column, so they will be removed.
Solutions
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import pandas as pd def dropMissingData(students: pd.DataFrame) -> pd.DataFrame: return students[students['name'].notnull()]