Object

org.dianahep.histogrammar

CentrallyBin

Related Doc: package histogrammar

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object CentrallyBin extends Factory

Split a quantity into bins defined by irregularly spaced bin centers, with exactly one sub-aggregator filled per datum (the closest one).

Unlike irregular bins defined by explicit ranges, irregular bins defined by bin centers are guaranteed to fully partition the space with no gaps and no overlaps. It could be viewed as cluster scoring in one dimension.

Factory produces mutable org.dianahep.histogrammar.CentrallyBinning and immutable org.dianahep.histogrammar.CentrallyBinned objects.

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  1. trait Methods[V <: Container[V]] extends AnyRef

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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 apply[DATUM, V <: Container[V] with Aggregation { type Datum >: DATUM }, N <: Container[N] with Aggregation { type Datum >: DATUM }](bins: Iterable[Double], quantity: UserFcn[DATUM, Double], value: ⇒ V = Count(), nanflow: N = Count()): CentrallyBinning[DATUM, V, N]

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    Create an empty, mutable org.dianahep.histogrammar.CentrallyBinning.

    bins

    Centers of each bin.

    quantity

    Numerical function split into fixed but unevenly-spaced bins.

    value

    Template used to create zero values (by calling this value's zero method).

    nanflow

    Container for data that result in NaN.

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. val detailedHelp: String

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    Help text that can be queried interactively: more detail than help.

    Help text that can be queried interactively: more detail than help. (FIXME: currently only contains the apply signature.)

    Definition Classes
    CentrallyBinFactory
  8. def ed[V <: Container[V] with NoAggregation, N <: Container[N] with NoAggregation](entries: Double, bins: Iterable[(Double, V)], nanflow: N): CentrallyBinned[V, N]

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    Create an immutable org.dianahep.histogrammar.CentrallyBinned from arguments (instead of JSON).

    Create an immutable org.dianahep.histogrammar.CentrallyBinned from arguments (instead of JSON).

    entries

    Weighted number of entries (sum of all observed weights).

    bins

    Centers and values of each bin.

    nanflow

    Container for data that resulted in NaN.

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. def fromJsonFragment(json: Json, nameFromParent: Option[String]): Container[_] with NoAggregation

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    Reconstructs a container of known type from JSON.

    Reconstructs a container of known type from JSON. General users should call the Factory object's fromJson, which uses header data to identify the container type. (This is called by fromJson.)

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

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  14. def hashCode(): Int

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  15. val help: String

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    Help text that can be queried interactively: a one-liner that can be included in a menu.

    Help text that can be queried interactively: a one-liner that can be included in a menu.

    Definition Classes
    CentrallyBinFactory
  16. def ing[DATUM, V <: Container[V] with Aggregation { type Datum >: DATUM }, N <: Container[N] with Aggregation { type Datum >: DATUM }](bins: Iterable[Double], quantity: UserFcn[DATUM, Double], value: ⇒ V = Count(), nanflow: N = Count()): CentrallyBinning[DATUM, V, N]

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    Synonym for apply.

  17. final def isInstanceOf[T0]: Boolean

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  18. val name: String

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    Name of the concrete Factory as a string; used to label the container type in JSON.

    Name of the concrete Factory as a string; used to label the container type in JSON.

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    CentrallyBinFactory
  19. final def ne(arg0: AnyRef): Boolean

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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