Watch 10 video solutions for Drop Missing Data, a easy level problem. This walkthrough by codebasics has 442,229 views views. Want to try solving it yourself? Practice on FleetCode or read the detailed text solution.
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.
