Source code for pycopia.measure.Counters

# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
#    Copyright (C) 1999-2006  Keith Dart <>
#    This library is free software; you can redistribute it and/or
#    modify it under the terms of the GNU Lesser General Public
#    License as published by the Free Software Foundation; either
#    version 2.1 of the License, or (at your option) any later version.
#    This library is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    Lesser General Public License for more details.

Averaging counters. Computes a running average and an exponentially weighted running average.

import array

[docs]class RunningAverage(object): """Maintains the current average. Call the update() method with a new value periodically. Properties: ExponentialWeightedRunningAverage RunningAverage These may be referenced at any time to get the current value. """ def __init__(self, N=5): self._X = array.array('d', [0.0]*(N)) n = self._N = float(N) self._alpha = n/(n+1.0) self._alphap = 1.0/(n+1.0) self._ewra = 0.0
[docs] def update(self, val): """Call this to update the average and weighted average.""" val = float(val) self._ewra = self._ExponentialWeightedRunningAverage() self._X.insert(0, val) del self._X[-1]
append = update def _RunningAverage(self): return sum(self._X)/(self._N) RunningAverage = property(_RunningAverage) RA = RunningAverage def _ExponentialWeightedRunningAverage(self): pwr = pow a = self._alpha ap = self._alphap X = self._X s = ap*X[0] for i in range(1, len(X)): s += pwr(a, i)*ap*X[i] s += pwr(a, len(X))*self._ewra return s ExponentialWeightedRunningAverage = property(_ExponentialWeightedRunningAverage) EWRA = ExponentialWeightedRunningAverage