Added branch for supplemented Code
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168
main.py
168
main.py
@ -2,54 +2,151 @@ import csv
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import math
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import random
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import matplotlib.pyplot as plt
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class Mensch(object):
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def __init__(self):
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#toImplement
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def __init__(self, alter, geschlecht, bdl):
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self.Alter = alter
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self.Geschlecht = geschlecht #0 Mann, 1 Frau
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self.Bundesland = bdl
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self.Koordinaten = self.getCoordinates(bdl)
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self.Infiziert = False
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self.Stichtag = None
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def __del__(self):
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self.Alter = None
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self.Geschlecht = None
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self.Bundesland = None
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self.Koordinaten = None
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def getCoordinates(self, bdl):
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bdlDict = {'Vorarlberg': [0, 0], 'Tirol': [1, 0], 'Kärnten': [2, 0], 'Salzburg': [0, 1],
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'Steiermark': [1, 1], 'Burgenland': [2, 1], 'Oberösterreich': [0, 2],
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'Niederösterreich': [1, 2], 'Wien': [2, 2]}
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bdlDict = {'Vorarlberg':[0,0], 'Tirol':[1,0], 'Kärnten':[2,0], 'Salzburg':[0,1], 'Steiermark':[1,1], 'Burgenland':[2,1], 'Oberösterreich':[0,2] ,'Niederösterreich':[1,2], 'Wien':[2,2]}
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return [int(bdlDict[bdl][0]) + random.random(), int(bdlDict[bdl][1]) + random.random()]
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def die(self):
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#toImplement
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randDie = random.random()
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infectFaktor = 1
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genderFaktor = 0.493
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if self.Geschlecht == 1:
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genderFaktor = 0.507
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if self.Infiziert:
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infectFaktor = 5
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if (randDie < (int(gestDict[self.Bundesland][int(self.Geschlecht)])*infectFaktor/(int(bevDict[self.Bundesland])*365*genderFaktor))):
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return True
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else:
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return False
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def infect(self, day):
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#toImplement
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#Distanz = math.sqrt((self.Koordinaten[0] - Population[randIndex].Koordinaten[0]) * (self.Koordinaten[0] - Population[randIndex].Koordinaten[0]) + (self.Koordinaten[1] - Population[randIndex].Koordinaten[1]) * (self.Koordinaten[1] - Population[randIndex].Koordinaten[1]))
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if (int(day) - int(self.Stichtag)) > 10:
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self.Infiziert = False
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else:
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for i in range(20):
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randIndex = random.randint(0, len(Population)-1)
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randInfect = random.random()
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if(self.Bundesland == Population[randIndex].Bundesland):
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Distanz = math.sqrt((self.Koordinaten[0] - Population[randIndex].Koordinaten[0]) * (
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self.Koordinaten[0] - Population[randIndex].Koordinaten[0]) + (
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self.Koordinaten[1] - Population[randIndex].Koordinaten[1]) * (
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self.Koordinaten[1] - Population[randIndex].Koordinaten[1]))
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InfectProb = 0.3 * (1 - Distanz)
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else:
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InfectProb = 0.0015
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if(randInfect< InfectProb):
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Population[randIndex].Infiziert = True
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Population[randIndex].Stichtag = day
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class Simulation(object):
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def __init__(self, population):
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self.Population = population
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def simulate(self):
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#toImplement
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# Visualisierung
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# Scatter Plot
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x_inf = []
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y_inf = []
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x_fit = []
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y_fit = []
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for human in Population:
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if (human.Infiziert):
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x_inf.append(human.Koordinaten[0])
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y_inf.append(human.Koordinaten[1])
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else:
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x_fit.append(human.Koordinaten[0])
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y_fit.append(human.Koordinaten[1])
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plt.title("Population")
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plt.scatter(x_inf, y_inf, c="red", s=5)
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plt.scatter(x_fit, y_fit, c="blue", s=2)
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plt.draw()
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if (i % 5 == 0):
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plt.savefig('result/populationOnDay' + str(i) + '.png')
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plt.pause(0.0001)
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plt.clf()
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print(len(Population))
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RandomStartInfekt = random.randint(0, len(Population)-1)
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Population[RandomStartInfekt].Infiziert = True
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Population[RandomStartInfekt].Stichtag = 0
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RandomStartInfekt = random.randint(0, len(Population)-1)
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Population[RandomStartInfekt].Infiziert = True
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Population[RandomStartInfekt].Stichtag = 0
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RandomStartInfekt = random.randint(0, len(Population)-1)
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Population[RandomStartInfekt].Infiziert = True
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Population[RandomStartInfekt].Stichtag = 0
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plt.ion()
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for i in range(365):
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print("Today is day number "+ str(i))
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for key in gebDict.keys():
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for j in range(int(abs(random.gauss((int(gebDict[key][0])*Populationsfaktor/(365)), 1)))):
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self.Population.append(Mensch(0, 0, key))
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for j in range(int(abs(random.gauss((int(gebDict[key][1])*Populationsfaktor / (365)), 1)))):
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self.Population.append(Mensch(0, 1, key))
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print(len(Population))
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deathlist = []
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for human in Population:
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if(human.die()):
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deathlist.append(Population.index(human))
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if(human.Infiziert):
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human.infect(i)
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deathlist.sort(reverse=True)
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for index in deathlist:
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Population.remove(Population[index])
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#Visualisierung
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#Scatter Plot
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x_inf = []
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y_inf = []
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x_fit = []
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y_fit = []
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for human in Population:
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if(human.Infiziert):
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#plt.plot(human.Koordinaten[0], human.Koordinaten[1], "o", color="red", markersize=2)
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x_inf.append(human.Koordinaten[0])
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y_inf.append(human.Koordinaten[1])
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else:
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#plt.plot(human.Koordinaten[0], human.Koordinaten[1], "o", color="blue", markersize=1)
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x_fit.append(human.Koordinaten[0])
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y_fit.append(human.Koordinaten[1])
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plt.title("Population")
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plt.scatter(x_inf, y_inf, c="red", s=5)
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plt.scatter(x_fit, y_fit, c="blue", s=2)
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plt.draw()
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if(i % 5 == 0):
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plt.savefig('result/populationOnDay' + str(i) + '.png')
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plt.pause(0.0001)
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plt.clf()
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print(len(Population))
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if __name__ == '__main__':
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print("Generate Population:")
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Populationsfaktor = 0.01
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AnteilFrauen = 0.507
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Population = []
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bevAnzahl = 0
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bevDict = {}
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gebDict = {}
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gestDict = {}
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AnteilFrauen = 0.507
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#read data from Statistik Austria
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with open('./data/Bevölkerung.csv') as bevoelkerung:
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csv_reader = csv.reader(bevoelkerung, delimiter = ';')
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@ -67,6 +164,7 @@ if __name__ == '__main__':
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rowcnt = rowcnt + 1
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if rowcnt > 2:
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gebDict[row[0]] = [row[-2], row[-1]]
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with open('./data/Gestorbene2021.csv') as gestorbene:
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csv_reader = csv.reader(gestorbene, delimiter=';')
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rowcnt = 0
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@ -74,16 +172,19 @@ if __name__ == '__main__':
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rowcnt = rowcnt + 1
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if rowcnt > 2:
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gestDict[row[0]] = [row[-2], row[-1]]
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print(bevDict)
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print(gebDict)
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print(gestDict)
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print(bevAnzahl)
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print(random.random())
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for i in range(int(bevAnzahl)):
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gender = 1
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if(random.random()>0.507):
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gender = 0
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age = random.randint(0, 101)
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bdl = ""
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randBdl = random.random()
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BdlCount = 0
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@ -93,6 +194,11 @@ if __name__ == '__main__':
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if(randBdl < checkWlsk):
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bdl = str(key)
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break
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Population.append(Mensch(age, gender, bdl))
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Simulation = Simulation(Population)
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Simulation.simulate()
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# See PyCharm help at https://www.jetbrains.com/help/pycharm/
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