Filtering
You'll recall from our previous exercises that the most ticket sales were all occurring in Los Angeles, making it difficult to look at other theater locations' performances. If we wanted to look at a subset of our data, such as one theater location, we'll have to filter our data.
This exercise is part of the course
Python for Spreadsheet Users
Exercise instructions
- Filter the
theater_locationcolumn of sales for onlyNew York- don't forget quotation marks! - Print the head of New York 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')
# Filter for New York sales only
new_york_sales = sales[sales[____] == ____].reset_index(drop=True)
# Print the first 5 rows of new_york_sales
____(new_york_sales.____())