2883. Drop Missing Data

DataFrame students

Column Name	Type
student_id	int
name	object
age	int

Instructions

• 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

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.

Submissions

import pandas as pd

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    return students.dropna(subset=['name'])

Explanation

Python (Pandas)

Submitted by @noeyislearning

• import pandas as pd: Import the pandas library to work with DataFrames.
• def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:: Define a function called dropMissingData that takes a DataFrame students as input and returns a DataFrame.
• return students.dropna(subset=['name']): Remove the rows with missing values in the name column.