Practice Working With Files (5) - Python for Data Science

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8 questions

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6 sample questions

Question 1.
What command is used to read a CSV file into a DataFrame using Pandas?
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Think about the function that starts with 'pd'.
Question 2.
What does the command df.to_csv() do?
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Consider the output format.
3Question 3.
What function is used to read a CSV file in Pandas?
- pd.read_csv()
- pd.write_csv()
- pd.load_csv()
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It starts with 'read'.
4Question 4.
Is the statement 'DataFrames can be saved to CSV format using df.to_csv()' true or false?
- True
- False
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Recall what the 'to_' prefix signifies.
Question 5.
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.
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Start by reading the file to load the data.
Question 6.
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.
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Remember the command for writing to CSV.

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