2887 Fill Missing Data
Last updated
Last updated
DataFrame products
Column Name | Type |
---|---|
Write a solution to fill in the missing value as 0
in the quantity
column.
The result format is in the following example.
For the whole problem statement, please refer here.
Use pandas to handle the data.
Fill in the missing values in the quantity
column with 0
.
Provide the DataFrame with the missing values filled.
Return the result.
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 fillMissingValues
that takes a single argument products
, which is a DataFrame containing product data.
Filling Missing Values
We use the fillna
method on the DataFrame products
to fill in missing values in the quantity
column with 0
.
The value=0
argument specifies the value to use for filling in missing values.
The inplace=True
argument specifies that the changes should be made directly to the DataFrame products
.
Return the Result
We return the updated DataFrame after filling in the missing values in the quantity
column with 0
.
name
object
quantity
int
price
int