Practice Working with Files - 5 | Python for Data Science | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What command is used to read a CSV file into a DataFrame using Pandas?

💡 Hint: Think about the function that starts with 'pd'.

Question 2

Easy

What does the command df.to_csv() do?

💡 Hint: Consider the output format.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What function is used to read a CSV file in Pandas?

  • pd.read_csv()
  • pd.write_csv()
  • pd.load_csv()

💡 Hint: It starts with 'read'.

Question 2

Is the statement 'DataFrames can be saved to CSV format using df.to_csv()' true or false?

  • True
  • False

💡 Hint: Recall what the 'to_' prefix signifies.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a CSV file named 'student_records.csv' with student names and grades. Write a Python code snippet that reads the file and outputs the grade statistics.

💡 Hint: Start by reading the file to load the data.

Question 2

Consider you need to keep track of changes in your DataFrame after processing it. Illustrate how you would save the modified DataFrame back to 'student_records.csv', overwriting the existing file.

💡 Hint: Remember the command for writing to CSV.

Challenge and get performance evaluation