the underlying time series on which this time series is based.
the time in the past this time series must consider for computing the sliding window. Values that relate to times before this will be ignored.
the function used to aggregate values.
the function used to aggregate values.
the underlying time series on which this time series is based.
a series of time for which values must be computed. Each time must be greater than or equal to the previous one.
the values associated to the specified times, if specified.
the time in the past this time series must consider for computing the sliding window.
the time in the past this time series must consider for computing the sliding window. Values that relate to times before this will be ignored.
A time series that aggregates recent values of an other time series. A typical use case is a mobile average time series.
If no values are available for a given time window, a None value is retrieved.
The number of periods in the sliding windows will only rely on the call frequency of this time series, for the underlying time series will only provide values for the times specified by this time series.
the underlying time series on which this time series is based.
the time in the past this time series must consider for computing the sliding window. Values that relate to times before this will be ignored.
the function used to aggregate values.