Practice Pandas (data Manipulation) (4.2) - Python for Data Science

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9 questions

Flashcard drill
2 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 is a DataFrame in Pandas?
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Think of a DataFrame like a table in a spreadsheet.
Question 2.
How do you create a DataFrame from a dictionary?
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Remember the syntax for creating a DataFrame.
3Question 3.
What is a DataFrame?
- A 2D array without labels
- A 2D labeled data structure
- A function in Python
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Think about what a table represents.
4Question 4.
True or False: DataFrames can be created from lists only.
- True
- False
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Remember the different types of inputs you can use to create DataFrames.
Question 5.
You have a DataFrame containing student names and scores. How would you filter this DataFrame to display names of students with scores above 75?
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Use a conditional check to filter data.
Question 6.
Create a DataFrame from a list of dictionaries containing employee names and salaries. Then calculate the average salary.
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Remember how to convert a list of dictionaries into a DataFrame.

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