2883 Drop Missing Data
Last updated
Last updated
DataFrame students
Column Name | Type |
---|---|
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.
For the whole problem statement, please refer here.
Import the pandas library to work with DataFrames.
Create a function dropMissingData
that takes a pandas DataFrame as input.
Use the pandas method to drop rows where the name
column has missing values (i.e., where name is None
or NaN
).
The function should return the modified DataFrame without missing values in the name
column.
Import Pandas
We start by importing the Pandas library, which provides data structures and operations for manipulating numerical tables and time series.
Define the Function
We define a function dropMissingData
that takes a single argument students
, which is a DataFrame containing student data.
Dropping Rows with Missing Values
We use the dropna
method on the DataFrame students
to remove rows with missing values in the name
column.
The subset=['name']
argument specifies that we are looking for missing values in the name
column.
Return the Result
We return the modified DataFrame after dropping rows with missing values in the name
column.
student_id
int
name
object
age
int