Aan de slagGa gratis aan de slag

Merging for ticket prices

So it turns out our tickets for adults, children, and seniors cost different dollar amounts!

Currently loaded are two DataFrames:

  • ticket_type_sales - A summary of tickets sold to adults, children, and seniors
  • ticket_prices - A table of how much tickets cost for each ticket type

Feel free to check them out in the console to get a better understanding of them.

Let's merge ticket_type_sales with ticket_prices to calculate revenue by ticket type!

Deze oefening maakt deel uit van de cursus

Python for Spreadsheet Users

Cursus bekijken

Oefeninstructies

  • Use the .merge() method on ticket_type_sales to join the ticket_prices DataFrame on the ticket_type column.
  • Create a revenue column in sales_complete that equals tickets_sold multiplied by ticket_price.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Join the tables
sales_complete = ticket_type_sales.____(____, ____, ____)

# Add a revenue column
____ = ____ * ____

# Print the table
print(sales_complete)
Code bewerken en uitvoeren