Reshaping the arrest rate data
In this exercise, you'll start by reshaping the arrest_rate Series into a DataFrame. This is a useful step when working with any multi-indexed Series, since it enables you to access the full range of DataFrame methods.
Then, you'll create the exact same DataFrame using a pivot table. This is a great example of how pandas often gives you more than one way to reach the same result!
Cet exercice fait partie du cours
Analyzing Police Activity with pandas
Instructions
- Unstack the
arrest_rateSeries to reshape it into a DataFrame. - Create the exact same DataFrame using a pivot table! Each of the three
.pivot_table()parameters should be specified as one of theri_weathercolumns.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Unstack the 'arrest_rate' Series into a DataFrame
print(arrest_rate.____)
# Create the same DataFrame using a pivot table
print(ri_weather.pivot_table(index='____', columns='____', values='is_arrested'))