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comparison python/indicators.py @ 631:2d1d33ae1c69

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major work on pPET and pet, issues remain for pPET computed with predicted trajectories
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 17 Feb 2015 03:55:55 +0100
parents eb8baa080470
children 3058e00887bc
comparison
equal deleted inserted replaced
630:69a98f84f3eb 631:2d1d33ae1c69
139 139
140 def __init__(self, name, values, timeInterval=None, mostSevereIsMax=True, maxValue = None): 140 def __init__(self, name, values, timeInterval=None, mostSevereIsMax=True, maxValue = None):
141 TemporalIndicator.__init__(self, name, values, timeInterval, maxValue) 141 TemporalIndicator.__init__(self, name, values, timeInterval, maxValue)
142 self.mostSevereIsMax = mostSevereIsMax 142 self.mostSevereIsMax = mostSevereIsMax
143 143
144 def getMostSevereValue(self, minNInstants=1): # TODO use scoreatpercentile 144 def getMostSevereValue(self, minNInstants=1): # TODO use np.percentile
145 from matplotlib.mlab import find 145 from matplotlib.mlab import find
146 from numpy.core.multiarray import array 146 from numpy.core.multiarray import array
147 from numpy.core.fromnumeric import mean 147 from numpy.core.fromnumeric import mean
148 values = array(self.values.values()) 148 values = array(self.values.values())
149 indices = range(len(values)) 149 indices = range(len(values))