def execute(self, timeSeries):
"""Creates a new TimeSeries containing the SMA values for the predefined windowsize.
:param TimeSeries timeSeries: The TimeSeries used to calculate the simple moving average values.
:return: TimeSeries object containing the smooth moving average.
:rtype: TimeSeries
:raise: Raises a :py:exc:`ValueError` wif the defined windowsize is larger than the number of elements
in timeSeries
:note: This implementation aims to support independent for loop execution.
"""
windowsize = self._parameters["windowsize"]
if len (timeSeries) < windowsize:
raise ValueError("windowsize is larger than the number of elements in timeSeries.")
tsLength = len(timeSeries)
nbrOfLoopRuns = tsLength - windowsize + 1
res = TimeSeries()
for idx in xrange(nbrOfLoopRuns):
end = idx + windowsize
data = timeSeries[idx:end]
timestamp = data[windowsize//2][0]
value = sum([i[1] for i in data])/windowsize
res.add_entry(timestamp, value)
res.sort_timeseries()
return res
def timeseries_sort_test(self):
"""Tests the sort_timeseries function."""
data = [[0.0, 0.0], [0.1, 0.1], [0.2, 0.2], [0.3, 0.3], [0.4, 0.4], [0.5, 0.5]]
ts = TimeSeries.from_twodim_list(data)
ts.sort_timeseries()
ts.sort_timeseries(False)
ts = TimeSeries(isSorted=True)
ts.sort_timeseries()
def timeseries_sort_test(self):
"""Tests the sort_timeseries function."""
data = [[0.0, 0.0], [0.1, 0.1], [0.2, 0.2], [0.3, 0.3], [0.4, 0.4], [0.5, 0.5]]
ts = TimeSeries.from_twodim_list(data)
ts.sort_timeseries()
ts.sort_timeseries(False)
ts = TimeSeries(isSorted=True)
ts.sort_timeseries()
