Comparing drug and search rates
As you saw in the last exercise, the rate of drug-related stops increased significantly between 2005 and 2015. You might hypothesize that the rate of vehicle searches was also increasing, which would have led to an increase in drug-related stops even if more drivers were not carrying drugs.
You can test this hypothesis by calculating the annual search rate, and then plotting it against the annual drug rate. If the hypothesis is true, then you'll see both rates increasing over time.
This exercise is part of the course
Analyzing Police Activity with pandas
Exercise instructions
- Calculate the annual search rate by resampling the
search_conductedcolumn, and save the result asannual_search_rate. - Concatenate
annual_drug_rateandannual_search_ratealong the columns axis, and save the result asannual. - Create subplots of the drug and search rates from the
annualDataFrame. - Display the subplots.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate and save the annual search rate
annual_search_rate = ri.search_conducted.____.mean()
# Concatenate 'annual_drug_rate' and 'annual_search_rate'
annual = pd.concat([____], axis=____)
# Create subplots from 'annual'
annual.plot(____)
# Display the subplots