Combining Datasets: Merge, Join, Concat

Your orders table has 50,000 rows. Your customers table has 8,000 rows. Your products table has 300 rows. The answer to your question lives across all three. Which customers in which cities bought which products at what price last month. No single table has everything. You need to combine them. That is what this post is about. Three Tools, Three Situations Pandas gives you three main ways to combine DataFrames. merge is for combining tables that share a common column, like a SQL join. This is wh