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.
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.
Deze oefening maakt deel uit van de cursus
Pandas Joins for Spreadsheet Users
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Create data frame for stadiums and view
____ = pd.read_csv(____)
print(stadiums.head(5))