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Please enable JavaScript in your browser settings or update your browser.Extracting Columns Quiz | The Very First Steps
Pandas First Steps
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Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesCreating a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdding a New ColumnInserting a New ColumnDeleting a Row/Column Matching the FunctionsWorking with ColumnsExtracting Columns Quiziloc BasicsUsing iloc
2. Reading Files in Pandas
CSV FilesTXT FilesWorking with Files QuizAccessing the Columns
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

bookExtracting Columns Quiz

If we have a DataFrame called `products` with four columns: 'id', 'name', 'type', and 'price', how would we correctly extract the 'name' and 'price' columns?

If we have a DataFrame called products with four columns: 'id', 'name', 'type', and 'price', how would we correctly extract the 'name' and 'price' columns?

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Section 1. Chapter 12
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