Good! Now that we have both DataFrames, it's time to merge them. Suppose we have two DataFrames – cars and owners:
cars_with_owners = cars.merge(owners, on='owner_id')
The code above creates a new variable cars_with_owners that contains data from both cars and owners. How does Python know how to combine these two datasets? It uses the on column – in this case, the owner_id:
Python looks for rows that have the same value in owner_id and matches them. Usually, the join column is some sort of ID that is consistent across multiple CSV files.
Create a new variable employee_all that will contain data from employee_names and employee_salaries. Use the employee_id column to merge both datasets. Finally, show the contents of employee_all.
Start with:
employee_all = employee_names.merge(...)
Complete the code in the parentheses.
