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comparison python/moving.py @ 69:cc192d0450b3

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added full support for two implementations of indicators, with tests
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 10 Nov 2010 23:41:49 -0500
parents 846fa9dc47de
children 45e958ccd9bd
comparison
equal deleted inserted replaced
68:846fa9dc47de 69:cc192d0450b3
149 @staticmethod 149 @staticmethod
150 def plotAll(points, color='r'): 150 def plotAll(points, color='r'):
151 from matplotlib.pyplot import scatter 151 from matplotlib.pyplot import scatter
152 scatter([p.x for p in points],[p.y for p in points], c=color) 152 scatter([p.x for p in points],[p.y for p in points], c=color)
153 153
154
155 class Trajectory: 154 class Trajectory:
156 '''Class for trajectories 155 '''Class for trajectories
157 i.e. a temporal sequence of positions 156 i.e. a temporal sequence of positions
158 157
159 the class is iterable.''' 158 the class is iterable.'''
166 return Trajectory([[float(n) for n in line1.split(' ')], 165 return Trajectory([[float(n) for n in line1.split(' ')],
167 [float(n) for n in line2.split(' ')]]) 166 [float(n) for n in line2.split(' ')]])
168 167
169 def __str__(self): 168 def __str__(self):
170 return ' '.join([self.__getitem__(i).__str__() for i in xrange(self.length())]) 169 return ' '.join([self.__getitem__(i).__str__() for i in xrange(self.length())])
170
171 def __repr__(self):
172 return str(self)
171 173
172 def __getitem__(self, i): 174 def __getitem__(self, i):
173 return Point(self.positions[0][i], self.positions[1][i]) 175 return Point(self.positions[0][i], self.positions[1][i])
174 176
175 def __iter__(self): 177 def __iter__(self):
380 382
381 def __init__(self, name, values, timeInterval=None): 383 def __init__(self, name, values, timeInterval=None):
382 self.name = name 384 self.name = name
383 self.values = values 385 self.values = values
384 self.timeInterval = timeInterval 386 self.timeInterval = timeInterval
387 if timeInterval:
388 assert len(values) == timeInterval.length()
385 389
386 def empty(self): 390 def empty(self):
387 return len(self.values) == 0 391 return len(self.values) == 0
392
393 def __getitem__(self, i):
394 if self.timeInterval:
395 if self.timeInterval.contains(i):
396 return self.values[i-self.timeInterval.first]
397 else:
398 if i in self.values.keys():
399 return self.values[i]
400 return None # default
401
402 def __iter__(self):
403 self.iterInstantNum = 0 # index in the interval or keys of the dict
404 return self
405
406 def next(self):
407 if self.iterInstantNum >= len(self.values):#(self.timeInterval and self.iterInstantNum>=self.timeInterval.length())\
408 # or (self.iterInstantNum >= self.values)
409 raise StopIteration
410 else:
411 self.iterInstantNum += 1
412 if self.timeInterval:
413 return self.values[self.iterInstantNum-1]
414 else:
415 return self.values.values()[self.iterInstantNum-1]
388 416
389 class SeverityIndicator(TemporalIndicator): 417 class SeverityIndicator(TemporalIndicator):
390 '''Class for severity indicators 418 '''Class for severity indicators
391 field mostSevereIsMax is True 419 field mostSevereIsMax is True
392 if the most severe value taken by the indicator is the maximum''' 420 if the most severe value taken by the indicator is the maximum'''
413 441
414 def indicatorMap(indicatorValues, trajectory, squareSize): 442 def indicatorMap(indicatorValues, trajectory, squareSize):
415 '''Returns a dictionary 443 '''Returns a dictionary
416 with keys for the indices of the cells (squares) 444 with keys for the indices of the cells (squares)
417 in which the trajectory positions are located 445 in which the trajectory positions are located
418 at which the indicator values are attached''' 446 at which the indicator values are attached
447
448 ex: speeds and trajectory'''
449
419 from numpy import floor, mean 450 from numpy import floor, mean
420 assert len(indicatorValues) == trajectory.length() 451 assert len(indicatorValues) == trajectory.length()
421 indicatorMap = {} 452 indicatorMap = {}
422 for k in xrange(trajectory.length()): 453 for k in xrange(trajectory.length()):
423 p = trajectory[k] 454 p = trajectory[k]