Offensive or defensive player?
You're not convinced with your previous exploration - you've discovered patterns in the attacking and overall scores in fifa_players. You would like to compare both scores, so you would like to see both in the same DataFrame.
To do this, you'll need a way to pivot more than one column. You remember you can achieve this goal in two different ways: you could pivot the DataFrame using the list with the two columns, or you could extend the .pivot() method to all the columns present in the dataset.
The fifa_players dataset is available for you. Make sure to examine it in the console!
Questo esercizio fa parte del corso
Reshaping Data with pandas
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Pivot fifa_players to get overall and attacking scores indexed by name and identified by movement
fifa_over_attack = fifa_players.____(____=____,
____=____,
____=[____, ____])
# Print fifa_over_attack
print(fifa_over_attack)