December 2, 2019

The .merge method in Pandas looks for columns that are common between two DataFrames and then looks for rows where those column’s values are the same. It then combines the matching row into a single row in a new table.
new_df = pd.merge(orders, customers)
OR
new_df = orders.merge(customers)
OR
big_df = orders.merge(customers).merge(products)

One way to address a problem with column names on tables to merge is with .rename:
pd.merge(orders, customers.rename(columns = {‘id’ : ‘customer_id’}))