Returns the first and last time stamp of a time series.

Traversal of the values of a time series with access to the time stamp as index.

Traversal of (UTime, value) pairs of a time series with access to a positional index.

The user of this traversal should guarantee to not reorder the events (ie. that the time stamps are modified in a monotonic way).

Returns a list of (time stamp, value) pairs of a time series sorted by time stamps.

Returns the lowest index i such that all events after i have time stamp at least t.

Returns the first event that has time stamp not earlier than t or Nothing if there's no such event in the series.

Returns the last event that has time stamp not later than t or Nothing if there's no such event in the series.

Construct a time series from a list of (time stamp, value) pairs

Precondition: the list have to be sorted by time stamps.

Construct a time series from a list of (time stamp, value) pairs

The list is sorted by time stamps on construction.

Zip a PeriodicSequence with a list of values.

Data type used to set up interpolation functions like interpolateAt, tsMergeEnhance and tsResampleLocal.

Helper function to linearly interpolate a numeric value between two events.

Assumes that the two events are in order and the interpolating time is strictly between the two time stamps.

Useful as the tsiBetween field of a TSInterpolate.

Defines trivial extending of a time series: uses the the same value as the first/last item.

To be used as tsiBefore or tsiAfter field of a TSInterpolate.

Defines non-extending time series.

To be used as tsiBefore or tsiAfter field of a TSInterpolate.

Linearly interpolates within time series; does not extend.

Linearly interpolates within time series; extends at the ends.

Access any time stamp in the given time series, with linear interpolation and trivial extension at the ends if needed.

Returns the slice of the time series within the provided time interval.

The time interval is interpreted as half-open, ie. the start time is inclusive, but the end time is not. If you need different behavior use the provided convenience function: justAfter (for start time, to make it exclusive; for end time, to make it inclusive).

Returns the next representable time value.

Returns the slice of the time series within the provided index interval.

The index interval is half-open: start index is inclusive, end index is exclusive.

Split the time series into two parts: everything strictly before the given time stamp, and everything after the given time stamp (including it).

Structure describing a recipe for a generic merge.

Generic (non-interpolating) merge.

Every time stamp considered independently from all the other. Conversion or combination of values is made according to the provided recipe, based on whether the value is present in one or both time series.

Simple (non-interpolating) merge, similar to zipWith.

Only the time stamps for which value is present in both series are considered. Values are combined by the user-supplied function.

Merges two time series by extending/resampling them to match each other.

The two time series are extended/resampled with tsResampleLocal using the provided interpolators; and then merged with tsMergeWith.

Resample or extend a time series to have values at the provided time stamps.

Resampling is done by locally interpolating between the two neighboring events (using the provided interpolator).

If the extend? argument is True, the original time series is extended; otherwise the result will have values only at the new time stamps (and the elements of the original time series are discarded if they don't appear in the provided time stamp sequence).

Extend/resample a time series by copying values forward.

Extend/resample a time series by copying values backward.

Resample a time series to have values at provided time stamps.

For every new time stamp a user supplied function is evaluated with that time stamp and two sub-series: one containing every event strictly before the time stamp, and one containing events at or after the time stamp. The results are collected to create the resulting time series.

Resamples a time series by calculating aggregates over a moving window of a given duration at the given time stamps.

If the time stamps for the window positions should be periodic too, you can use psOver (tsRange series) as the times argument.

Shift time series in time by applying the user provided function to all the time stamps.

Prerequisite: the provided time-modifying function has to be monotone.