rollingTime

Series rollingTime(Series values,  Series times,  long  window,
       size_t minPeriods =  1,  string agg =  "sum",  size_t ddof =  1)

@trusted

The time-based rolling aggregation (ADR-2026-10-30-03): over an explicit (values, times) pair - no hidden index column. The times are DATETIME and must be sorted ascending (validated, throws; never silently sorted); row i sees the window [tI - window, tI] inclusive on both ends. The aggregation semantics, association and minPeriods/ddof null rules mirror the fixed-width row rolling exactly ("sum", "mean", "count", "min", "max", "std", "variance"; null values skip; the two-pass dispersion never slides). Null timestamps reject the whole call (use filter first).

Parameters

`values`	the value Series
`times`	the DATETIME time Series (equal length, sorted)
`window`	the inclusive window width (nanoseconds; the `dur*` constructors)
`minPeriods`	the minimum valid values for a non-null result
`agg`	the aggregate name
`ddof`	the dispersion degrees of freedom (`std`/`variance`)

Returns

the FLOAT64 rolling Series.

Throws

DataFrameException on non-DATETIME or unsorted times,

length mismatch, a non-positive window or null timestamps.