Calculating the hourly arrest rate

When a police officer stops a driver, a small percentage of those stops ends in an arrest. This is known as the arrest rate. In this exercise, you'll find out whether the arrest rate varies by time of day.

First, you'll calculate the arrest rate across all stops in the ri DataFrame. Then, you'll calculate the hourly arrest rate by using the hour attribute of the index. The hour ranges from 0 to 23, in which:

0 = midnight
12 = noon
23 = 11 PM

This exercise is part of the course

Analyzing Police Activity with pandas

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Exercise instructions

Take the mean of the is_arrested column to calculate the overall arrest rate.
Group by the hour attribute of the DataFrame index to calculate the hourly arrest rate.
Save the hourly arrest rate Series as a new object, hourly_arrest_rate.

Hands-on interactive exercise

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

# Calculate the overall arrest rate
print(____)

# Calculate the hourly arrest rate
print(ri.groupby(____).____)

# Save the hourly arrest rate
hourly_arrest_rate = ____

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