Datapoint

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply(t: Long): Double

final def asInstanceOf[T0]: T0

def binaryOp(ts: TimeSeries, labelFmt: String, f: BinaryOp): TimeSeries

def blend(ts: TimeSeries): TimeSeries

def bounded(s: Long, e: Long): ArrayTimeSeq

def clone(): AnyRef

def consolidate(step: Long, cf: ConsolidationFunction): TimeSeries

def data: TimeSeq

def datapoint(timestamp: Long): Datapoint

def dsType: DsType

final def eq(arg0: AnyRef): Boolean

def foreach(s: Long, e: Long)(f: (Long, Double) ⇒ Unit): Unit

Fast loop with no intermediate object creation.

def foreach(f: (String, String) ⇒ Unit): Unit

Code that just needs to iterate over all tags should use this method.

final def getClass(): Class[_]

def id: ItemId

Unique id based on the tags.

def idString: String

Standard string representation of the id.

def isExpired: Boolean

Returns true if the item is expired and no data is available.

final def isInstanceOf[T0]: Boolean

def label: String

def mapTimeSeq(f: (TimeSeq) ⇒ TimeSeq): TimeSeries

def mapValues(f: (Double) ⇒ Double): TimeSeq

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def offset(dur: Long): TimeSeries

val step: Long

Step size for the datapoint.

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

val tags: Map[String, String]

Metadata for the identifying the datapoint.

val timestamp: Long

Timestamp for the data point.

def unaryOp(labelFmt: String, f: (Double) ⇒ Double): TimeSeries

val value: Double

Value for the interval.

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def withLabel(s: String): TimeSeries

def withTags(ts: Map[String, String]): TimeSeries

def finalize(): Unit