Mercurial > hg > nsaunier > traffic-intelligence

comparison python/utils.py @ 276:78922b4de3bf

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minor change
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Fri, 14 Dec 2012 01:01:13 -0500
parents aba9711b3149
children 3af4c267a7bf
comparison
equal deleted inserted replaced
275:7833140539f9 276:78922b4de3bf
68 class EmpiricalDistribution: 68 class EmpiricalDistribution:
69 def nSamples(self): 69 def nSamples(self):
70 return sum(self.counts) 70 return sum(self.counts)
71 71
72 def cumulativeDensityFunction(sample): 72 def cumulativeDensityFunction(sample):
73 'Returns the cumulative density function of the sample of a random variable' 73 '''Returns the cumulative density function of the sample of a random variable'''
74 from numpy.core.multiarray import array 74 from numpy.core.multiarray import array
75 from numpy.lib.function_base import unique 75 from numpy.lib.function_base import unique
76 from numpy.core.fromnumeric import sum 76 from numpy.core.fromnumeric import sum
77 a = array(sample) 77 a = array(sample)
78 a.sort() 78 a.sort()
113 '''Class to represent a sample of a distribution for a continuous random variable 113 '''Class to represent a sample of a distribution for a continuous random variable
114 with the number of observations for each interval 114 with the number of observations for each interval
115 intervals (categories variable) are defined by their left limits, the last one being the right limit 115 intervals (categories variable) are defined by their left limits, the last one being the right limit
116 categories contain therefore one more element than the counts''' 116 categories contain therefore one more element than the counts'''
117 def __init__(self, categories, counts): 117 def __init__(self, categories, counts):
118 # todo add samples for initialization and everything to None? (or setSamples?)
118 self.categories = categories 119 self.categories = categories
119 self.counts = counts 120 self.counts = counts
120 121
121 def mean(self): 122 def mean(self):
122 result = 0. 123 result = 0.