Practice Adding And Deleting Columns (4.7) - Chapter 4: Understanding Pandas for Machine Learning

Practice: Adding and Deleting Columns

Lesson 4.7Understanding Pandas for Machine Learning

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10 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.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
How do you add a new column named 'Height' with values [5.5, 6.0, 5.8]?
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Remember to use the DataFrame variable and assign the values.
Question 2.
What command would you use to delete a column named 'Weight'?
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Use the drop method, which takes column names as parameters.
3Question 3.
What method is used to add a new column in a Pandas DataFrame?
- assign()
- add_column()
- df['new_column'] = values
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Think about how you normally assign values in Python.
4Question 4.
True or False: The drop() method can remove multiple columns at once.
- True
- False
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Recall how we've handled multiple columns in discussions.
Question 5.
Create a DataFrame with three columns: 'Product', 'Price', and 'Sales'. Add a new column 'Profit' calculated as Price - Sales.
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Make sure to perform the subtraction correctly to get the profit.
Question 6.
Given a DataFrame with multiple columns, write code that removes any column whose name starts with 'temp_'.
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Use list comprehension to generate the list of columns to drop.

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