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Provides a moving average over a data set.
Written by Sean Reifschneider <jafo@tummy.com> Released into the Public Domain 2011-02-05 Module to compute the moving average of a list. For example: from movingaverage import movingaverage print list(movingaverage([1,2,3,4,5,6], 3)) >>> [2,3,4,5] NOTE: Another option is the "stats" pacakge, which is currently (Feb 2011) in early development. The author of that package says that it includes several moving average functions. I haven't used it, because I didn't find out about it until after I wrote this. For more information see: http://pypi.python.org/pypi/stats/ movingaverage(data, subset_size, data_is_list = None, avoid_fp_drift = True) Return the moving averages of the data, with a window size of `subset_size`. `subset_size` must be an integer greater than 0 and less than the length of the input data, or a ValueError will be raised. `data_is_list` can be used to tune the algorithm for list or iteratable as an input. The default value, `None` will auto-detect this. The algorithm used if `data` is a list is almost twice as fast as if it is an iteratable. `avoid_fp_drift`, if True (the default) sums every sub-set rather than keeping a "rolling sum" (which may be subject to floating-point drift). While more correct, it is also dramatically slower for subset sizes much larger than 20. NOTE: You really should consider setting `avoid_fp_drift = False` unless you are dealing with very small numbers (say, far smaller than 0.00001) or require extreme accuracy at the cost of execution time. For `subset_size` < 20, the performance difference is very small.
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