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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.

Diese Übung ist Teil des Kurses

Python for Spreadsheet Users

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Anleitung zur Übung

  • Filter the theater_location column of sales for only New York - don't forget quotation marks!
  • Print the head of New York sales.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# 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.____())
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