Swap your SIM card
Great job so far! You were able to reshape your dataset in several ways. Now it's time to go a step further and analyze the data to discover if a customer's cell phone plan is related to the customer leaving.
You explore the churn dataset and notice that the row levels are not well organized. First, you want to rearrange your row indicesso it's easier to reshape your DataFrame.
The 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. Make sure to examine it in the console!
This exercise is part of the course
Reshaping Data with pandas
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Switch the first and third row index levels in churn
churn_swap = ____.____(____, ____)
# Print churn_swap
print(churn_swap)