Practice Selecting And Filtering Data (4.6) - Chapter 4: Understanding Pandas for Machine Learning

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9 questions

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4 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.
What command would you use to select the 'Name' column?
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Use single brackets for a single column.
Question 2.
How do you filter for ages greater than 30?
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Use the greater than operator inside the brackets.
3Question 3.
What will df[['Name']] return?
- A Series
- A DataFrame
- An error
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Think about the brackets you use.
4Question 4.
True or False: Filtering allows you to remove rows based on certain conditions.
- True
- False
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Consider what filtering does to the data you see.
Question 5.
Given the following DataFrame 'students', write a command to extract names of students who scored above 80 and attended more than 5 hours.
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Use logical operators to combine multiple conditions.
Question 6.
If you have a DataFrame of sales data, and you want to extract the 10 recent sales transactions above $1000, how would you approach this?
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Filter first, then use head to limit your results.

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