python-movingaverage
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Function for computing a moving average of data.
Written by Sean Reifschneider [email protected] 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.