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comparison python/storage.py @ 643:bfaa6b95dae2

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added function to plot curvilinear position as a function of time
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Fri, 10 Apr 2015 15:40:27 +0200
parents 932f96c89212
children 5ed2118c959d
comparison
equal deleted inserted replaced
642:932f96c89212 643:bfaa6b95dae2
659 so simulationStepsPerTimeUnit should be 5, 659 so simulationStepsPerTimeUnit should be 5,
660 so that all times correspond to the number of the simulation step (and can be stored as integers) 660 so that all times correspond to the number of the simulation step (and can be stored as integers)
661 661
662 Assumed to be sorted over time''' 662 Assumed to be sorted over time'''
663 objects = {} # dictionary of objects index by their id 663 objects = {} # dictionary of objects index by their id
664 firstInstants = {}
665 664
666 if usePandas: 665 if usePandas:
667 from pandas import read_csv 666 from pandas import read_csv
668 from numpy import min, max, round 667 from numpy import min, max, round
669 data = read_csv(filename, delimiter=';', skiprows=16) 668 data = read_csv(filename, delimiter=';', skiprows=16)
679 objects[objNum] = moving.MovingObject(num = objNum, timeInterval = moving.TimeInterval(row['first'], row['last'])) 678 objects[objNum] = moving.MovingObject(num = objNum, timeInterval = moving.TimeInterval(row['first'], row['last']))
680 # positions should be rounded to nDecimals decimals only 679 # positions should be rounded to nDecimals decimals only
681 objects[objNum].curvilinearPositions = moving.CurvilinearTrajectory(S = round(tmp['POS'].tolist(), nDecimals), Y = round(tmp['POSLAT'].tolist(), nDecimals), lanes = tmp['LANE'].tolist()) 680 objects[objNum].curvilinearPositions = moving.CurvilinearTrajectory(S = round(tmp['POS'].tolist(), nDecimals), Y = round(tmp['POSLAT'].tolist(), nDecimals), lanes = tmp['LANE'].tolist())
682 return objects.values() 681 return objects.values()
683 else: 682 else:
683 firstInstants = {}
684 inputfile = openCheck(filename, quitting = True) 684 inputfile = openCheck(filename, quitting = True)
685 # data = pd.read_csv(filename, skiprows=15, delimiter=';') 685 # data = pd.read_csv(filename, skiprows=15, delimiter=';')
686 # skip header: 15 lines + 1 686 # skip header: 15 lines + 1
687 line = readline(inputfile, '*$') 687 line = readline(inputfile, '*$')
688 while len(line) > 0:#for line in inputfile: 688 while len(line) > 0:#for line in inputfile: