Pandas 面试题与答案

问题 16. How to handle duplicate values in a DataFrame?

You can use drop_duplicates() to remove duplicate rows: df.drop_duplicates()

问题 17. Explain the purpose of the iterrows() function in Pandas.

iterrows() is used to iterate over DataFrame rows as (index, Series) pairs.

Example:

for index, row in df.iterrows(): print(index, row['Column'])

问题 18. How to rename columns in a DataFrame?

You can use the rename() method to rename columns: df.rename(columns={'OldName': 'NewName'})

问题 19. Explain the concept of MultiIndex in Pandas.

MultiIndex allows you to have multiple index levels on an axis.

问题 20. How to handle time series data in Pandas?

Pandas provides the Timestamp type and functions like resample() for time series analysis.

Example:

df['Date'] = pd.to_datetime(df['Date'])