Monitor_plot

class Simulation: ## Methods ---------------------------------- __init__(self) initialize(self) now(self) stopSimulation(self) allEventNotices(self) allEventTimes(self) activate(self, obj, process, at='undefined', delay='undefined', prior=False) reactivate(self, obj, at='undefined', delay='undefined', prior=False) startCollection(self, when=0.0, monitors=None, tallies=None) simulate(self, until=0)

class Monitor (subclass of list) records time series of observed data values for a simulation variable

m = Monitor(name=‘’,ylab=‘y’,tlab=‘t’)

Attributes:

m.yseries() returns a list of the recorded data values.

m.tseries() returns a list of the recorded times.

m.total() returns the sum of the y values

m.count() returns the current number of observations.

m.mean() returns the simple average of the observations

m.var() returns the simple variance of the observations.

m.timeAverage() returns the time-average of the integrated y values,

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# Monitorplot.py

from __future__ import generators

from SimPy.Simulation import *

from SimPy.SimPlot import *

from random import uniform

class Source(Process):

def __init__(self,monitor):

Process.__init__(self)

self.moni=monitor

self.arrived=0

def arrivalGenerator(self):

while True:

yield hold,self,uniform(0,20)

self.arrived+=1

self.moni.observe(self.arrived)

initialize()

moni=Monitor(name="Arrivals",ylab="nr arrived")

s=Source(moni)

activate(s,s.arrivalGenerator())

simulate(until=100)

plt=SimPlot()

plt.plotStep(moni,color='blue',windowsize=(300,200))

plt.mainloop()

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