Which method is used to remove duplicate rows from a pandas DataFrame?

Explanation

The pandas library provides the 'drop_duplicates()' method to identify and remove duplicate rows from a DataFrame. 'dropna()' is used to remove missing values, 'fillna()' is used to replace missing values, and 'duplicated()' returns a boolean series indicating which rows are duplicates without removing them.

Key points

drop_duplicates() removes redundant rows
dropna() handles missing data
duplicated() identifies duplicates but does not remove them

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