Two many calls
Your last analysis was successful, but you still have some questions to answer. You are not satisfied with the organization of the data in your DataFrame.
For that reason, you plan on switching and rearranging row and column indices by chaining the stacking and unstacking processes. Also, you would like to rearrange several levels at the same time.
The same churn
DataFrame is available for you. It contains data about minutes
, voicemail
, and data
plans for different years. The data is indexed by state
, city
, and exited
status.
Cet exercice fait partie du cours
Reshaping Data with pandas
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Unstack the first and second row level of churn
churn_unstack = ____.____(____=[____, ____])
# Print churn_unstack
print(churn_unstack)