Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

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2.  final def ##(): Int

   Definition Classes

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3.  final def ==(arg0: Any): Boolean

   Definition Classes

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4.  def addMissing(delta: Duration, f: ((LocalDateTime, V), (LocalDateTime, V), LocalDateTime) ⇒ 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

   Definition Classes

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6.  def clone(): AnyRef

   Attributes

   protected[java.lang]

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   @throws( ... )

7.  val dataPoints: Vector[(LocalDateTime, V)]
8.  val ds: Vector[V]
9.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

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

    Filter by index and value

11.  def finalize(): Unit

    Attributes

    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

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[_]

    Definition Classes

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14.  def groupByTime(g: (LocalDateTime) ⇒ LocalDateTime, f: (Seq[(LocalDateTime, 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[(LocalDateTime, V)]
16.  val idx: Vector[LocalDateTime]
17.  val index: Vector[LocalDateTime]
18.  def interpolateOutliers(min: V, max: V, f: (V, V) ⇒ V)(implicit num: Numeric[V]): TimeSeries[V]

    Remove outliers by interpolate values on their place

19.  def isEmpty: Boolean

    Check is series is empty

20.  final def isInstanceOf[T0]: Boolean

    Definition Classes

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

    Inner join.

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

22.  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.

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

    Get last element of the series

24.  val length: Int
25.  def map(f: ((LocalDateTime, 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.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

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28.  def nonEmpty: Boolean

    Check is series is non empty

29.  final def notify(): Unit

    Definition Classes

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30.  final def notifyAll(): Unit

    Definition Classes

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31.  def removeOutliers(min: V, max: V)(implicit num: Numeric[V]): TimeSeries[V]

    Remove outliers

32.  def repeat(start: LocalDateTime, end: LocalDateTime, d: Duration): TimeSeries[V]

    Repeat series

33.  def resample(delta: Duration, f: ((LocalDateTime, V), (LocalDateTime, V), LocalDateTime) ⇒ 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

34.  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

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

    Rolling window operation

36.  def shiftTime(d: Duration, forward: Boolean): TimeSeries[V]

    Shift index by specific time duration

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

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

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

    Definition Classes

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39.  def trimOutliers(min: V, max: V)(implicit num: Numeric[V]): TimeSeries[V]

    Remove outliers by set min/max values on their place

40.  val values: Vector[V]
41.  final def wait(): Unit

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    @throws( ... )

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

    Definition Classes

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    @throws( ... )

43.  final def wait(arg0: Long): Unit

    Definition Classes

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    @throws( ... )