Creating columns
Sometimes we have to create new columns based on the data we have in order to better represent the information we currently have. For example, maybe we care more about the dollar value of our ticket sales than just the actual quantity of tickets we've sold.
This exercise is part of the course
Python for Spreadsheet Users
Exercise instructions
- Create a new column in
sales
calledsales_usd
, equal toticket_quantity
multiplied by 20. - Print the head of
sales
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the pandas package as pd
import pandas as pd
# Read in the Excel file
sales = pd.read_excel('ticket_sales.xlsx')
# Create a sales_usd column
sales[____] = sales[____] * ____
# Print the head of sales