Recall & Review
beginner
What is the purpose of renaming columns in a DataFrame?
Renaming columns helps make the data easier to understand and work with by giving columns clear and meaningful names.
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beginner
How do you rename a single column in a pandas DataFrame?
Use the
rename() method with a dictionary mapping old column name to new name, like df.rename(columns={'old_name': 'new_name'}, inplace=True).Click to reveal answer
beginner
What does the
inplace=True argument do when renaming columns?It changes the original DataFrame directly without needing to assign the result to a new variable.
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beginner
Can you rename multiple columns at once? How?
Yes, by passing a dictionary with multiple old-to-new name pairs to
rename(columns={...}).Click to reveal answer
intermediate
What happens if you rename a column that does not exist in the DataFrame?
Nothing changes for that name; pandas ignores keys in the dictionary that are not found in the DataFrame columns.
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Which pandas method is used to rename columns in a DataFrame?
✗ Incorrect
The correct method to rename columns is
rename().What argument do you pass to
rename() to specify new column names?✗ Incorrect
You use the
columns argument to rename columns.What does setting
inplace=True do when renaming columns?✗ Incorrect
inplace=True changes the original DataFrame directly.If you want to rename columns 'A' to 'Alpha' and 'B' to 'Beta', how would you pass the dictionary?
✗ Incorrect
The dictionary keys are old names and values are new names.
What happens if you try to rename a column that does not exist in the DataFrame?
✗ Incorrect
Pandas ignores keys not found in the DataFrame columns.
Explain how to rename columns in a pandas DataFrame and why it might be useful.
Think about making column names easier to understand.
You got /4 concepts.
Describe what happens when you rename multiple columns at once and include an example dictionary.
Use a dictionary with more than one pair.
You got /4 concepts.