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comparison trafficintelligence/tests/utils.txt @ 1250:77fbd0e2ba7d

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dltrack works with moving average filtering
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Thu, 15 Feb 2024 22:04:35 -0500
parents 4069d8545922
children bae8de98406f
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1249:2aa56b101041 1250:77fbd0e2ba7d
1 >>> from trafficintelligence.utils import * 1 >>> from trafficintelligence.utils import *
2 >>> from trafficintelligence.moving import Point 2 >>> from trafficintelligence.moving import Point
3 >>> from numpy import array, arange
3 4
4 >>> upperCaseFirstLetter('mmmm... donuts') 5 >>> upperCaseFirstLetter('mmmm... donuts')
5 'Mmmm... Donuts' 6 'Mmmm... Donuts'
6 >>> s = upperCaseFirstLetter('much ado about nothing') 7 >>> s = upperCaseFirstLetter('much ado about nothing')
7 >>> s == 'Much Ado About Nothing' 8 >>> s == 'Much Ado About Nothing'
43 1.3 44 1.3
44 >>> values[2] #doctest: +ELLIPSIS 45 >>> values[2] #doctest: +ELLIPSIS
45 71.5... 46 71.5...
46 >>> values[-1] 47 >>> values[-1]
47 6.0 48 6.0
49
50 >>> filterMovingWindow(arange(10), 3)
51 array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
52 >>> filterMovingWindow(list(range(10)), 3)
53 array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
54 >>> filterMovingWindow(arange(10.), 3)
55 array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
56 >>> filterMovingWindow(arange(10.), 2)
57 array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
48 58
49 >>> stepPlot([3, 5, 7, 8], 1, 10, 0) 59 >>> stepPlot([3, 5, 7, 8], 1, 10, 0)
50 ([1, 3, 3, 5, 5, 7, 7, 8, 8, 10], [0, 0, 1, 1, 2, 2, 3, 3, 4, 4]) 60 ([1, 3, 3, 5, 5, 7, 7, 8, 8, 10], [0, 0, 1, 1, 2, 2, 3, 3, 4, 4])
51 61
52 >>> mostCommon(['a','b','c','b']) 62 >>> mostCommon(['a','b','c','b'])