Reviewing the moves

Wow! You have now learned about pivot tables. In the last analysis that you did, you encountered a DataFrame that had non-unique index/column pairs. In order to pivot your DataFrame, you wrote code to drop the last row, and then reshaped it.

In this exercise, you will modify the code using pivot tables and compare it with your strategy of using the pivot method.

The fifa_players dataset is available for you.

This exercise is part of the course

Reshaping Data with pandas

View Course

Exercise instructions

Discard the fifth row of the fifa_players DataFrame.
Use .pivot() on fifa_players to get all the scores indexed by name, and identified by movement in the columns.
Use a pivot table to show the mean of all scores by name and movement, setting name as index.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Discard the fifth row to delete all repeated rows
fifa_drop = fifa_players.____(____)

# Use pivot method to get all scores by name and movement
fifa_pivot = fifa_drop.____(____) 

# Print fifa_pivot
print(fifa_pivot)  

# Use pivot table to get all scores by name and movement
fifa_pivot_table = fifa_players.____(index=____, 
                                     columns=____, 
                                     aggfunc=____)
# Print fifa_pivot_table
print(fifa_pivot_table)

Edit and Run Code