Course Content
Pandas First Steps
Pandas First Steps
2. Reading Files in Pandas
3. Analyzing the Data
Viewing the DataHead QuizHead and Tail QuizInformation on the DataColumn Names and Data TypesFinding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculating Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values
Dropping 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
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You need to eliminate rows containing empty cells. To achieve this, use the dropna() method.
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Section 3. Chapter 8
Dropping 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
Swipe to show code editor
You need to eliminate rows containing empty cells. To achieve this, use the dropna() method.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
Thanks for your feedback!
Section 3. Chapter 8
Switch to desktop for real-world practiceContinue from where you are using one of the options below