What are the different merge and join techniques in Pandas?

What are the different merge and join techniques in Pandas?

In Pandas, you can use methods like merge(), join(), and concat() to combine DataFrames. Each has its own use cases.

Can you explain how the merge() function works?

Sure! The merge() function combines two DataFrames based on a common column or index. You can specify the type of join: inner, outer, left, or right.

What is the difference between join() and merge()?

The join() method is primarily used for joining on the index, while merge() is more flexible and can join on any column.

Can you give an example of an outer join?

Absolutely! An outer join returns all records from both DataFrames, filling in NaNs for missing matches. Would you like to see a code example?