def main():
record = SimulationRecord(100, False)
record.loadHDF5('../data/anazasi.h5', True, True)
agentResults = GlobalAgentStats(';')
agentResults.addAnalysis(AgentNum())
agentResults.addAnalysis(AgentMean('estimates'))
agentResults.applyTo(record, 'households.csv', 'Household')
rasterResults = GlobalRasterStats(';')
rasterResults.addAnalysis(RasterMean())
rasterResults.addAnalysis(RasterSum())
rasterResults.applyTo(record, 'water.csv', 'yield x100')
def main():
""" this file provides a template that can be used to analyze any Pandora model """
record = SimulationRecord(1, False)
record.loadHDF5('data/results.h5', True, True)
agentResults = GlobalAgentStats(';')
agentResults.addAnalysis(AgentNum())
agentResults.addAnalysis(AgentMean('x'))
agentResults.addAnalysis(AgentMean('y'))
agentResults.addAnalysis(AgentMean('value'))
agentResults.addAnalysis(AgentSum('value'))
agentResults.applyTo(record, 'agents.csv', 'HelloAgent')
rasterResults = GlobalRasterStats(';')
rasterResults.addAnalysis(RasterMean())
rasterResults.addAnalysis(RasterSum())
rasterResults.applyTo(record, 'values.csv', 'values')
def main():
record = SimulationRecord(1, False)
record.loadHDF5('../data/results.h5', True, True)
agentResults = GlobalAgentStats(';')
agentResults.addAnalysis(AgentNum())
agentResults.addAnalysis(AgentMean('strength x100'))
agentResults.addAnalysis(AgentMean('aggressiveness x100'))
agentResults.addAnalysis(AgentStdDev('strength x100'))
agentResults.addAnalysis(AgentStdDev('aggressiveness x100'))
agentResults.addAnalysis(AgentSum('strength x100'))
agentResults.addAnalysis(AgentSum('aggressiveness x100'))
agentResults.applyTo(record, 'farmers.csv', 'Farmer')
agentResults.applyTo(record, 'herders.csv', 'Herder')
rasterResults = GlobalRasterStats(';')
rasterResults.addAnalysis(RasterMean())
rasterResults.addAnalysis(RasterSum())
rasterResults.applyTo(record, 'conflicts.csv', 'conflicts')
def createAgents(self):
for i in range(0, 10):
newAgent = MyAgent('id_' + str(i))
self.addAgent(newAgent)
newAgent.setRandomPosition()
newAgent._value = random.randint(0, 10)
mySimulation = Simulation(32, 10)
myWorld = MyWorld(mySimulation)
myWorld.initialize()
myWorld.run()
# analysis
record = SimulationRecord()
record.loadHDF5('data/results.h5', 1, 1)
agentResults = AgentResults(record, 'agents.csv', 'id', ';')
agentResults.addAnalysis(AgentNum())
agentResults.addAnalysis(AgentMean('x'))
agentResults.addAnalysis(AgentMean('y'))
agentResults.addAnalysis(AgentMean('value'))
agentResults.addAnalysis(AgentSum('value'))
agentResults.addAnalysis(AgentHDFtoSHP('shp/agents.shp', -1))
agentResults.apply()
rasterResults = RasterResults(record, 'resources.csv', 'test', ';')
rasterResults.addAnalysis(RasterMean())
rasterResults.addAnalysis(RasterSum())
def createAgents(self):
for i in range(0, 10):
newAgent = MyAgent('id_' + str(i))
self.addAgent(newAgent)
newAgent.setRandomPosition()
newAgent._value = random.randint(0, 10)
myConfig = Config(SizeInt(32, 32), 10)
myWorld = MyWorld(myConfig)
myWorld.initialize()
myWorld.run()
# analysis
record = SimulationRecord(1, False)
record.loadHDF5('data/results.h5', True, True)
agentResults = GlobalAgentStats(';')
agentResults.addAnalysis(AgentNum())
agentResults.addAnalysis(AgentMean('x'))
agentResults.addAnalysis(AgentMean('y'))
agentResults.addAnalysis(AgentMean('value'))
agentResults.addAnalysis(AgentSum('value'))
agentResults.applyTo(record, 'agents.csv', 'id')
#agentResults.addAnalysis(AgentHDFtoSHP('shp/agents.shp', -1))
rasterResults = GlobalRasterStats(';')
rasterResults.addAnalysis(RasterMean())
rasterResults.addAnalysis(RasterSum())
rasterResults.applyTo(record, 'resources.csv', 'test')
