Python Analysing Police Activity with Pandas

 # Create a DataFrame of female drivers stopped for speeding

female_and_speeding = ri[(ri.driver_gender == 'F') & (ri.violation == 'Speeding')]


# Create a DataFrame of male drivers stopped for speeding

male_and_speeding = ri[(ri.driver_gender == 'M') & (ri.violation == 'Speeding')]


# Compute the stop outcomes for female drivers (as proportions)

print(female_and_speeding.stop_outcome.value_counts(normalize=True))


# Compute the stop outcomes for male drivers (as proportions)

print(male_and_speeding.stop_outcome.value_counts(normalize=True))

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