Class

org.dianahep.histogrammar

TwoDimensionallyHistogramMethods

Related Doc: package histogrammar

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class TwoDimensionallyHistogramMethods extends AnyRef

Methods that are implicitly added to container combinations that look like two-dimensional histograms.

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Instance Constructors

  1. new TwoDimensionallyHistogramMethods(selected: Selected[Binned[Binned[Counted, Counted, Counted, Counted], Counted, Counted, Counted]])

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def numericalNanflow: Double

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    Number of entries that yielded NaN in either the xquantity or the yquantity.

  16. def numericalOverflow: Double

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    Number of entries that missed the two-dimensional region in any direction.

  17. def numericalValues: Seq[Seq[Double]]

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    Bin values as numbers, rather than org.dianahep.histogrammar.Counted/org.dianahep.histogrammar.Counting.

  18. val selected: Selected[Binned[Binned[Counted, Counted, Counted, Counted], Counted, Counted, Counted]]

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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