TimeSeries

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def addMissing(delta: Duration, f: ((Instant, V), (Instant, V), Instant) ⇒ V): TimeSeries[V]

   

   Add missing points to the time series.

   Add missing points to the time series. The output series will have all its own points and some new points if there are missing at every duration.

   delta

   Expected distance between points

   f

   This function will approximate missing points.

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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   protected[java.lang]

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7. val dataPoints: Vector[(Instant, V)]

   

8. val ds: Vector[V]

   

9. final def eq(arg0: AnyRef): Boolean

   

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10. def filter(f: ((Instant, V)) ⇒ Boolean): TimeSeries[V]

    

    Filter by index and value

11. def finalize(): Unit

    

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12. def get(i: Int)(implicit num: Numeric[V]): V

    

    Safe get.

    Safe get. If element is out of the bounds then 0 is returned

13. final def getClass(): Class[_]

    

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14. def groupByTime(g: (Instant) ⇒ Instant, f: (Seq[(Instant, V)]) ⇒ V): TimeSeries[V]

    

    Aggregate data points.

    Aggregate data points.

    g

    This function transforms current data point time into new time. All points with the same time will be integrated into single point

    f

    This function defines how to aggregate points with the same transformed time

15. def head: Option[(Instant, V)]

    

16. val idx: Vector[Instant]

    

17. val index: Vector[Instant]

    

18. def isEmpty: Boolean

    

    Check is series is empty

19. final def isInstanceOf[T0]: Boolean

    

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20. def join[U](ts: TimeSeries[U]): TimeSeries[(V, U)]

    

    Inner join.

    Inner join. Only include points which have the same data in both series

21. def joinLeft[U](ts: TimeSeries[U], default: U): TimeSeries[(V, U)]

    

    Left join.

    Left join. If right series doesn't have a data point then put default value.

22. def joinOuter[U](ts: TimeSeries[U], defaultLeft: V, defaultRight: U): TimeSeries[(V, U)]

    

    Outer join.

    Outer join. If one of the series doesn't have a data point then put default(left or right) value.

23. def last: Option[(Instant, V)]

    

    Get last element of the series

24. val length: Int

    

25. def map(f: ((Instant, V)) ⇒ V): TimeSeries[V]

    

    Map by index and value.

    Map by index and value. Create new values

26. def mapValues[U](f: (V) ⇒ U): TimeSeries[U]

    

    Map over values.

27. def merge(ts: TimeSeries[V]): TimeSeries[V]

    

    Merges series A into B

28. final def ne(arg0: AnyRef): Boolean

    

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29. def nonEmpty: Boolean

    

    Check is series is non empty

30. final def notify(): Unit

    

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31. final def notifyAll(): Unit

    

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32. def resample(delta: Duration, f: ((Instant, V), (Instant, V), Instant) ⇒ V)(implicit num: Numeric[V]): TimeSeries[V]

    

    Resample given TimeSeries with indexes separated by delta.

    Resample given TimeSeries with indexes separated by delta. This function will ensure that series is evenly spaced.

    delta

    Distance between points

    f

    Function which approximates missing points

33. def resampleWithDefault(delta: Duration, default: V)(implicit num: Fractional[V]): TimeSeries[V]

    

    Resample series.

    Resample series. If there are any missing points then they will be replaced by given default value

34. val resolution: Duration

    

    Most frequent duration in time series

35. def rollingWindow(windowSize: Duration, f: (Seq[V]) ⇒ V): TimeSeries[V]

    

    Rolling window operation

36. def shiftTime(d: Duration): TimeSeries[V]

    

    Shift index by specific time duration

37. def slice(start: Instant, end: Instant): TimeSeries[V]

    

    Get slice of series with left side inclusive and right side exclusive this operation is based on index.

38. def sortByIndex: TimeSeries[V]

    

    Return new Time Series where index is always increasing

39. def splitAt(g: Instant): (TimeSeries[V], TimeSeries[V])

    

    Get tuple of series with right side inclusive to the requested split instant.

    Get tuple of series with right side inclusive to the requested split instant.

    g

    Instant to split the series

40. final def synchronized[T0](arg0: ⇒ T0): T0

    

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41. def take(n: Int): TimeSeries[V]

    

    Return series with first n elements *

42. val values: Vector[V]

    

43. final def wait(): Unit

    

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44. final def wait(arg0: Long, arg1: Int): Unit

    

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45. final def wait(arg0: Long): Unit

    

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