Practice Writing Csv (5.2) - Python for Data Science - Data Science Basic

Practice: Writing CSV

Lesson 5.2Python for Data Science

Practise this section

9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What method do you use to write a DataFrame to a CSV file?
Show hintHide hint
Think of the function that exports.
Question 2.
What is CSV an abbreviation for?
Show hintHide hint
It involves separating values with something commonly used in lists.
3Question 3.
What method is used to write a DataFrame to a CSV file in Pandas?
- write.csv()
- to_csv()
- export_to_csv()
Show hintHide hint
Think about common 'writing' functions in programming.
4Question 4.
True or False: By default, to_csv() saves the index of the DataFrame.
- True
- False
Show hintHide hint
Remember what we discussed about 'True' and 'False' settings.
Question 5.
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.
Show hintHide hint
Remember how we set the index parameter.
Question 6.
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.
Show hintHide hint
Think about how to fill each column with data before saving.

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