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!

Este ejercicio forma parte del curso

Analyzing Police Activity with pandas

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Instrucciones del ejercicio

Unstack the arrest_rate Series 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 the ri_weather columns.

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# 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'))

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