Recall & Review
beginner
What is the purpose of renaming columns in a pandas DataFrame?
Renaming columns helps make the data easier to understand and work with by giving columns clear, meaningful names.
Click to reveal answer
beginner
Which pandas method is commonly used to rename columns?
The
rename() method is used to rename columns in a pandas DataFrame.Click to reveal answer
intermediate
How do you rename multiple columns at once using pandas?
You pass a dictionary to
rename() where keys are old column names and values are new names, like df.rename(columns={'old1': 'new1', 'old2': 'new2'}).Click to reveal answer
intermediate
What does the
inplace=True argument do in rename()?It changes the original DataFrame directly without needing to assign the result to a new variable.
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intermediate
Can you rename columns by assigning a new list of column names directly? How?
Yes, by assigning a list of new column names to
df.columns, like df.columns = ['new1', 'new2', 'new3']. The list length must match the number of columns.Click to reveal answer
Which pandas method is used to rename columns?
✗ Incorrect
The correct method to rename columns in pandas is
rename().How do you rename a single column 'old' to 'new' using
rename()?✗ Incorrect
You must pass a dictionary to the
columns parameter: df.rename(columns={'old': 'new'}).What happens if you use
inplace=True in rename()?✗ Incorrect
inplace=True modifies the original DataFrame directly.How can you rename all columns at once?
✗ Incorrect
You can rename all columns by assigning a list of new names to
df.columns.What must be true about the list when assigning new column names to df.columns?
✗ Incorrect
The list length must exactly match the number of columns in the DataFrame.
Explain how to rename columns in a pandas DataFrame using the rename() method.
Think about how you tell pandas which columns to rename and what to rename them to.
You got /5 concepts.
Describe two ways to rename columns in pandas and when you might use each.
One way changes some columns, the other changes all columns at once.
You got /4 concepts.