Practice Selecting Columns And Rows (9.5.1) - Data Analysis using Python

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
How do you select a single column named 'Age'?
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Remember the single brackets for selecting a single column.
Question 2.
What code would you use to select the first row of a DataFrame?
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Think about which index corresponds to the first position.
3Question 3.
What method do you use to select a specific column from a DataFrame?
- df.select()
- df['ColumnName']
- df.column('ColumnName')
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Focus on how you reference a column in a DataFrame.
4Question 4.
True or False: iloc allows you to select data by column names.
- True
- False
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Think about whether iloc uses names or indices.
Question 5.
Given a DataFrame with student marks, write the code to select the first four rows and the columns 'Name' and 'Marks'.
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Think about how to combine both row and column selection.
Question 6.
How would you modify your code to select all rows for the 'Weekly_Study_Hours' column if you can only access the full DataFrame?
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Remember that ':' can denote all rows in selections.

5 more questions in this section. Enroll free to practise them all.