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One-to-many joins

You think it might be helpful to take a look at punt plays because of their potential for concussions. A typical NFL game has 8-10 punts. Here is the spreadsheet you created. punts

You'd like to join this dataset with the stadium data you previously created. It seems like a great opportunity for a one-to-many join. The datasets are saved to separate csv files, stadiums.csv and punts.csv.

This exercise is meant to provide a first glance at one-to-many joins before taking a deeper look later in the course.

This exercise is part of the course

Pandas Joins for Spreadsheet Users

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create data frame for stadiums and view
____ = pd.read_csv(____)
print(stadiums.head(5))
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