Stackoverflow question #39349894

incentive.py

import numpy as np  # import library for linear algebra and more utilities
from numpy.random import randint  # import random int
# initialize random seed
np.random.seed(4)

houses = ["Gryffindor","Slytherin", "Hufflepuff", "Ravenclaw"]

houses_points = []
for _ in houses:
    # houses_points.append(randint(0, 100, randint(60,100)))
    houses_points.append(randint(0, 50, randint(2,10)))

houses_participations = []
houses_total_points = []
for house_id in xrange(len(houses)):
    houses_total_points.append(np.sum(houses_points[house_id]))
    houses_participations.append(len(houses_points[house_id]))

total_participations = np.sum(houses_participations)

# proposed model with weighted total participation points
houses_partic_points = []
for house_id in xrange(len(houses)):
    tmp = houses_total_points[house_id]*houses_participations[house_id]/total_participations
    houses_partic_points.append(tmp)

# House Participation
print "House\t\tPoints per Participant"
for house_id in xrange(len(houses)):
    print "{}:\t{}".format(houses[house_id],houses_points[house_id])

print "\nHouse\t\tNumber of Participations per House"
for house_id in xrange(len(houses)):
    print "{}:\t{}".format(houses[house_id], houses_participations[house_id])

print "\nHouse\t\tTotal Points"
for house_id in xrange(len(houses)):
    print "{}:\t{}".format(houses[house_id], houses_total_points[house_id])

print "\nHouse\t\tPoints weighted by a participation factor"
for house_id in xrange(len(houses)):
    print "{}:\t{}".format(houses[house_id], houses_partic_points[house_id])