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Dropping Null Values | Analyzing the Data
Pandas First Steps
course content

Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
2. Reading Files in Pandas
3. Analyzing the Data

bookDropping Null Values

If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna() method.

Let's give it a try.

Task

You need to eliminate rows containing empty cells. To achieve this, use the dropna() method.

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Section 3. Chapter 8
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bookDropping Null Values

If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna() method.

Let's give it a try.

Task

You need to eliminate rows containing empty cells. To achieve this, use the dropna() method.

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!

Section 3. Chapter 8
toggle bottom row

bookDropping Null Values

If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna() method.

Let's give it a try.

Task

You need to eliminate rows containing empty cells. To achieve this, use the dropna() method.

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!

If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna() method.

Let's give it a try.

Task

You need to eliminate rows containing empty cells. To achieve this, use the dropna() method.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 8
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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