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Learn Challenge: Filling Null Values | Analyzing the Data
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Challenge: Filling Null Values

To handle null values while retaining each row of the DataFrame, we can utilize the fillna() method. This allows us to populate each empty cell with a specific value (like a string or number) rather than eliminating it.

To replace null values with the number 0, the fillna() method is used:

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Task

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You are given a DataFrame named wine_data.

  • Replace null values with the string 'no'.

Solution

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SectionΒ 3. ChapterΒ 9
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book
Challenge: Filling Null Values

To handle null values while retaining each row of the DataFrame, we can utilize the fillna() method. This allows us to populate each empty cell with a specific value (like a string or number) rather than eliminating it.

To replace null values with the number 0, the fillna() method is used:

python
Task

Swipe to start coding

You are given a DataFrame named wine_data.

  • Replace null values with the string 'no'.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

close

Awesome!

Completion rate improved to 3.03

Swipe to show menu

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