Hazard Rate

Problem

Compute the discrete hazard rate per interval: events_i / at_risk_i (0.0 when at_risk is 0).

Return the list of hazards.

Hint

The hazard is the event rate among those still at risk at the start of the interval.

case 1

in: [[100,80,60],[10,8,6]]

expected: [0.1,0.1,0.1]

case 2

in: [[50,0,25],[5,0,5]]

expected: [0.1,0,0.2]

case 3

in: [[],[]]

expected: []

Starter codePython

def hazard_rate(at_risk, events):
    # Your code here
    pass

3 test cases · run your code against them in the editor