Class

org.dianahep.histogrammar.sparksql.pyspark

AggregatorConverter

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class AggregatorConverter extends AnyRef

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Instance Constructors

  1. new AggregatorConverter()

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Type Members

  1. type Agg = C forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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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 Average(quantity: Column): Averaging[Row]

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  5. def Bag(quantity: Column, range: String): Bagging[Row, _ >: Double with String with Seq[Double]]

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  6. def Bin(num: Int, low: Double, high: Double, quantity: Column, value: Agg, underflow: Agg, overflow: Agg, nanflow: Agg): Binning[Row, C, C, C, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  7. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg, i4: Agg, i5: Agg, i6: Agg, i7: Agg, i8: Agg, i9: Agg): Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]]]]]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  8. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg, i4: Agg, i5: Agg, i6: Agg, i7: Agg, i8: Agg): Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]]]]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  9. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg, i4: Agg, i5: Agg, i6: Agg, i7: Agg): Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]]]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  10. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg, i4: Agg, i5: Agg, i6: Agg): Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  11. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg, i4: Agg, i5: Agg): Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  12. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg, i4: Agg): Branching[C, Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  13. def Branch(i0: Agg, i1: Agg, i2: Agg, i3: Agg): Branching[C, Branching[C, Branching[C, Branching[C, BranchingNil.type]]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  14. def Branch(i0: Agg, i1: Agg, i2: Agg): Branching[C, Branching[C, Branching[C, BranchingNil.type]]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  15. def Branch(i0: Agg, i1: Agg): Branching[C, Branching[C, BranchingNil.type]] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  16. def Branch(i0: Agg): Branching[C, BranchingNil.type] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  17. def Categorize(quantity: Column, value: Agg): Categorizing[Row, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  18. def CentrallyBin(bins: Iterable[Double], quantity: Column, value: Agg, nanflow: Agg): CentrallyBinning[Row, C, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  19. def Count(): Counting

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  20. def Deviate(quantity: Column): Deviating[Row]

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  21. def Fraction(quantity: Column, value: Agg): Fractioning[Row, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  22. def Index(values: Iterable[Agg]): Indexing[C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  23. def IrregularlyBin(bins: Iterable[Double], quantity: Column, value: Agg, nanflow: Agg): IrregularlyBinning[Row, C, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  24. def Label(pairs: Iterable[(String, Agg)]): Labeling[Averaging[Row]]

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  25. def Maximize(quantity: Column): Maximizing[Row]

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  26. def Minimize(quantity: Column): Minimizing[Row]

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  27. def Select(quantity: Column, cut: Agg): Selecting[Row, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  28. def SparselyBin(binWidth: Double, quantity: Column, value: Agg, nanflow: Agg, origin: Double): SparselyBinning[Row, C, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  29. def Stack(bins: Iterable[Double], quantity: Column, value: Agg, nanflow: Agg): Stacking[Row, C, C] forSome {type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }, type C <: Container[C] with Aggregation { type Datum >: org.apache.spark.sql.Row }}

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  30. def Sum(quantity: Column): Summing[Row]

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  31. def UntypedLabel(pairs: Iterable[(String, Agg)]): UntypedLabeling[Averaging[Row]]

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  32. final def asInstanceOf[T0]: T0

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  33. def clone(): AnyRef

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

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  35. def equals(arg0: Any): Boolean

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  36. def finalize(): Unit

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

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  38. def hashCode(): Int

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  39. def histogrammar[CONTAINER <: Container[CONTAINER] with Aggregation { type Datum = org.apache.spark.sql.Row }](df: DataFrame, container: CONTAINER): CONTAINER

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  40. final def isInstanceOf[T0]: Boolean

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

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  42. final def notify(): Unit

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  43. final def notifyAll(): Unit

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

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  45. def toString(): String

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  46. final def wait(): Unit

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

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

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