You're correct! The pd.merge() function in Pandas uses a similar logic to the INNER JOIN operation in SQL. By default, it performs an inner join, which only returns the rows where there is a match in both dataframes on the specified columns. However, it also supports other types of joins, such as left join, right join, and outer join, which can be specified using the how parameter in the pd.merge() function.
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