Concatenating columns
Now it's time to continue exploring stadiums and turf types as potential factors associated with concussions. It might be interesting to see turf types by season type.
You determined earlier that the games data frame and the stadiums data frame are complementary. It seems reasonable to concatenate them by column. The two data frames are already loaded.
Cet exercice fait partie du cours
Pandas Joins for Spreadsheet Users
Instructions
- Use the default number of rows for
.head()to view the first 5 rows of each data frame. - Join the data frames using
pd.concat(). - Cross-tabulate
TurfandSeasonType.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# View data frames
print(____.head())
print(____.____())
# Join data frames
games_places = pd.concat([____, ____],
axis=____)
# Cross-tabulate Season and Season Type
print(pd.crosstab(games_places.Turf, games_places.SeasonType))