def PlotNetwork(numOfNodes):
#First plot-----------------------------------------------------
tempList = []
plt=SimPlot()
plt.root.title("The plot")
objects = []
for i in range(numOfNodes):
tempList.append([G.NodesLocations[i][0],G.NodesLocations[i][1]])
dots = plt.makeSymbols(tempList,color="green",size=2,marker='circle',windowsize=(1000,600))
objects.append(dots)
for i in range(numOfNodes):
for j in range(i, numOfNodes):
src = [G.NodesLocations[i][0],G.NodesLocations[i][1]]
dst = [G.NodesLocations[j][0],G.NodesLocations[j][1]]
#objects.append(plt.makeLine([src,dst],splinesteps=20,color="blue",width=2))
obj=plt.makeGraphObjects(objects)
frame=Frame(plt.root)
graph=plt.makeGraphBase(frame,1000,600, title="Network")
graph.pack()
graph.draw(obj)
frame.pack()
#Second plot-----------------------------------------------------
#Need to create a new root (Tk()) for every new plot
#We use the same 'plt' object
root1 = Tk()
root1.title = "Panel 2"
line = plt.makeLine([[0,0],[1,1],[2,4],[3,9]])
obj2 = plt.makeGraphObjects([line])
#Need to create a new frame and graph for our new root
frame2=Frame(root1)
graph2=plt.makeGraphBase(frame2,1000,600, title="Network")
graph2.pack()
graph2.draw(obj2)
frame2.pack()
#This must be at the end
plt.mainloop()
print "Normalizing data..."
normalizedData = {}
for lang in Parameters.languages:
data = []
lastDatum = None
for datum in lang.population.bufferMon:
if lastDatum and datum[0] > lastDatum[0]:
data.append(lastDatum)
lastDatum = datum
normalizedData[lang] = data
colors = iter(["red", "green", "blue", "black", "yellow", "cyan", "magenta"])
plt = SimPlot() # step 1
plt.root.title("Language Population Levels") # step 3
lines = []
print "Language Colors:"
for lang in Parameters.languages:
color = colors.next()
print "\t%s: %s" % (lang, color)
lines.append(plt.makeLine(normalizedData[lang], color=color))
# lines.append(plt.makeLine(lang.population.bufferMon, color=color))
obj = plt.makeGraphObjects(lines) # step 5
frame = Frame(plt.root) # step 6
graph = plt.makeGraphBase(frame, 640, 480, title="Population Levels", xtitle="Time", ytitle="Speakers") # step 7
graph.pack() # step 8
graph.draw(obj) # step 9
frame.pack() # step 10
# graph.postscr()
plt.mainloop() # step 12
edge = [ind, rod]
self.EdgeList.append(edge)
self.EdgeList = dict(self.EdgeList)
def channelOn(self, chn):
self.EdgeList[chn].color = v.color.red
def channelOff(self, chn):
self.EdgeList[chn].color = v.color.green
initialize()
Net = Network()
if G.vis_on: V = Vis()
for N in Net.Nodes:
N.initCounterparts()
N.activate()
simulate(until=G.max_time)
print 'Sim Finished, Visualising graphs...'
if not G.vis_on:
plt = SimPlot()
plt2 = SimPlot()
plt2.plotLine(Net.waitQMon)
plt.plotLine(Net.activeQMon)
plt.mainloop()
#nx.draw(Net.graph_plan)
#plt.show()
self.EdgeList[chn].color=v.color.red
def channelOff(self,chn):
self.EdgeList[chn].color=v.color.green
initialize()
Net = Network()
if G.vis_on: V = Vis()
for N in Net.Nodes:
N.initCounterparts()
N.activate()
simulate(until=G.max_time)
print 'Sim Finished, Visualising graphs...'
if not G.vis_on:
plt = SimPlot()
plt2 = SimPlot()
plt2.plotLine(Net.waitQMon)
plt.plotLine(Net.activeQMon)
plt.mainloop()
#nx.draw(Net.graph_plan)
#plt.show()
def MyXYPlot(X, Y):
Z = zip(X, Y)
plt = SimPlot()
plt.plotLine(Z)
plt.mainloop()
# AdvancedAPI.py
from SimPy.SimPlot import *
plt = SimPlot() # step 1
plt.root.title("Advanced API example") # step 3
line = plt.makeLine([[0, 42], [1, 1], [4, 16]]) # step 4
bar = plt.makeBars([[0, 42], [1, 1], [4, 16]], color='blue') # step 4
sym = plt.makeSymbols([[1, 1]], marker="triangle", size=3,
fillcolor="red") # step 4
obj = plt.makeGraphObjects([line, bar, sym]) # step 5
frame = Frame(plt.root) # step 6
graph = plt.makeGraphBase(frame, 500, 300, title="Line and bars") # step 7
graph.pack() # step 8
graph.draw(obj) # step 9
frame.pack() # step 10
graph.postscr() # step 11
plt.mainloop() # step 12
# Experiment data -------------------------
maxTime = 400.0 # minutes
counter = Resource(1, name="Clerk", monitored=True)
# Model -----------------------------------
def model(SEED=393939): # 3
seed(SEED)
initialize()
source = Source()
activate(
source, # 4
source.generate(number=20, rate=0.1),
at=0.0)
simulate(until=maxTime) # 5
# Experiment -----------------------------------
model()
plt = SimPlot() # 6
plt.plotStep(
counter.waitMon, # 7
color="red",
width=2) # 8
plt.mainloop() # 9
maxTime = 400.0 # minutes
counter = Resource(1, name="Clerk")
Mon = Monitor('Time in the Bank') # 4
N = 0
# Model ----------------------------------
def model(SEED=393939):
seed(SEED)
initialize()
source = Source()
activate(source, source.generate(number=20, rate=0.1), at=0.0)
simulate(until=maxTime)
# Experiment ----------------------------------
model()
Histo = Mon.histogram(low=0.0, high=200.0, nbins=20) # 5
plt = SimPlot() # 6
plt.plotHistogram(
Histo,
xlab='Time (min)', # 7
title="Time in the Bank",
color="red",
width=2)
plt.mainloop() # 8
