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.
Diese Übung ist Teil des Kurses
Analyzing Police Activity with pandas
Anleitung zur Übung
- Calculate the annual search rate by resampling the
search_conducted
column, and save the result asannual_search_rate
. - Concatenate
annual_drug_rate
andannual_search_rate
along the columns axis, and save the result asannual
. - Create subplots of the drug and search rates from the
annual
DataFrame. - Display the subplots.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# 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