Dribbling the pivot method
It's time to keep working with the fifa_players dataset. After you explored the dataset, you realized the dataset contains player scores on different movements: shooting, dribbling, and passing. There are attacking scores as well as overall scores.
The goal of the project is to analyze the scores to create an optimized team, so you decide to explore which score is better. But the current data is in a long format. You'll need to to pivot your DataFrame in different ways to discover a pattern.
The fifa_players dataset is available for you. Make sure to examine it in the console!
Cet exercice fait partie du cours
Reshaping Data with pandas
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Pivot fifa_players to get overall scores indexed by name and identified by movement
fifa_overall = fifa_players.____(____=____, ____=____, ____=____)
# Print fifa_overall
print(fifa_overall)