What are the different types of joins in Pandas?

What are the different types of joins in Pandas?

In Pandas, there are four main types of joins: inner, outer, left, and right joins. Would you like to know more about each?

Yes, please explain each type.

Sure! An inner join returns only the rows with matching keys in both DataFrames. An outer join returns all rows from both DataFrames, filling in NaNs for missing matches. A left join returns all rows from the left DataFrame and matched rows from the right. Finally, a right join returns all rows from the right DataFrame and matched rows from the left.

Can you give me an example of an inner join?

Absolutely! If you have two DataFrames, df1 and df2, you can perform an inner join using: df1.merge(df2, how='inner'). This will give you a DataFrame with only the rows that have matching keys in both df1 and df2.