Practice Writing CSV - 5.2 | 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 method do you use to write a DataFrame to a CSV file?

💡 Hint: Think of the function that exports.

Question 2

Easy

What is CSV an abbreviation for?

💡 Hint: It involves separating values with something commonly used in lists.

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 method is used to write a DataFrame to a CSV file in Pandas?

  • write.csv()
  • to_csv()
  • export_to_csv()

💡 Hint: Think about common 'writing' functions in programming.

Question 2

True or False: By default, to_csv() saves the index of the DataFrame.

  • True
  • False

💡 Hint: Remember what we discussed about 'True' and 'False' settings.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a DataFrame containing sales records for several products. You need to write this DataFrame to a CSV file named 'sales_data.csv' without the index. Provide the Python code to do this.

💡 Hint: Remember how we set the index parameter.

Question 2

Create a new DataFrame with three columns ('Name', 'Age', 'City'), populate it with data, and then write it to 'people.csv'. Include the index this time.

💡 Hint: Think about how to fill each column with data before saving.

Challenge and get performance evaluation