In [6]:
#Class Program on 2015-01-16
import numpy
import matplotlib.pyplot as plt
initialNumPeople = 10 #inital number of people
barCapacity = 80
maxExitRatePerTimeStep = 5
minExitRatePerTimeStep = 0
maxTimeStep = 100
currentTime = 0
peopleList = []
#Our goal is to measure how many people are in the bar across timesteps
#create model that counts/changes number of people in the bar
#condition to stop when we reach max timestep
#Can simulate random number of people entering bar at some probability that changes over time
#based on amount over/under capacity, change probability of going to bar the next timestep
while currentTime < maxTimeStep:
if initialNumPeople >= barCapacity:
enteringPeeps = 0 #no one enters the bar if it is at full capacity
else:
enteringPeeps = int(numpy.random.normal(5,1))
exitingPeeps = int(numpy.random.uniform(minExitRatePerTimeStep, maxExitRatePerTimeStep))
if exitingPeeps > initialNumPeople+enteringPeeps:
exitingPeeps = 0
initialNumPeople = initialNumPeople + enteringPeeps - exitingPeeps
peopleList.append(initialNumPeople)
currentTime +=1
%matplotlib inline
f = plt.figure()
plt.plot(peopleList)
plt.xlabel('TimeStep')
plt.ylabel('Number of People in the Bar')
plt.title('Rockstar CSCS530 1st Program Yay')
Out[6]:
In [ ]:
for x in xrange(0,10):
print x