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
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 = ____