Concatenating rows with duplicated indexes
Pandas is proving quite useful for your data prep! One small problem - your colleague reloaded the data frames without setting GameKey as the index for either frame. Can you still concatenate the games_2016 and games_2017 data frames?
This exercise is part of the course
Pandas Joins for Spreadsheet Users
Exercise instructions
- View the indexes of the reloaded data frames.
- Rejoin the data frames using
pd.concat(). - View the new data frame.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# View indexes
print(games_2016.index.values)
print(____.index.values)
# Rejoin data frames
games = ____([____, ____],
____=____)
# View new data frame
print(____)