Spark 4.2.0 ScalaDoc - org.apache.spark.sql.DataFrameStatFunctions

abstract class DataFrameStatFunctions extends AnyRef

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  1. DataFrameStatFunctions
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Visibility

  1. Public
  2. Protected

Instance Constructors

  1. new DataFrameStatFunctions()

Abstract Value Members

  1. abstract def approxQuantile(cols: Array[String], probabilities: Array[Double], relativeError: Double): Array[Array[Double]]
  2. abstract def corr(col1: String, col2: String, method: String): Double
  3. abstract def cov(col1: String, col2: String): Double
  4. abstract def crosstab(col1: String, col2: String): DataFrame
  5. abstract def df: DataFrame
  6. abstract def freqItems(cols: Seq[String], support: Double): DataFrame
  7. abstract def sampleBy[T](col: Column, fractions: Map[T, Double], seed: Long): DataFrame

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
  2. final def ##: Int
  3. final def ==(arg0: Any): Boolean
  4. def approxQuantile(col: String, probabilities: Array[Double], relativeError: Double): Array[Double]
  5. final def asInstanceOf[T0]: T0
  6. def bloomFilter(col: Column, expectedNumItems: Long, numBits: Long): BloomFilter
  7. def bloomFilter(colName: String, expectedNumItems: Long, numBits: Long): BloomFilter
  8. def bloomFilter(col: Column, expectedNumItems: Long, fpp: Double): BloomFilter
  9. def bloomFilter(colName: String, expectedNumItems: Long, fpp: Double): BloomFilter
  10. def clone(): AnyRef
  11. def corr(col1: String, col2: String): Double
  12. def countMinSketch(col: Column, eps: Double, confidence: Double, seed: Int): CountMinSketch
  13. def countMinSketch(col: Column, depth: Int, width: Int, seed: Int): CountMinSketch
  14. def countMinSketch(colName: String, eps: Double, confidence: Double, seed: Int): CountMinSketch
  15. def countMinSketch(colName: String, depth: Int, width: Int, seed: Int): CountMinSketch
  16. final def eq(arg0: AnyRef): Boolean
  17. def equals(arg0: AnyRef): Boolean
  18. def freqItems(cols: Seq[String]): DataFrame
  19. def freqItems(cols: Array[String]): DataFrame
  20. def freqItems(cols: Array[String], support: Double): DataFrame
  21. final def getClass(): Class[_ <: AnyRef]
  22. def hashCode(): Int
  23. final def isInstanceOf[T0]: Boolean
  24. final def ne(arg0: AnyRef): Boolean
  25. final def notify(): Unit
  26. final def notifyAll(): Unit
  27. def sampleBy[T](col: Column, fractions: Map[T, Double], seed: Long): DataFrame
  28. def sampleBy[T](col: String, fractions: Map[T, Double], seed: Long): DataFrame
  29. def sampleBy[T](col: String, fractions: Map[T, Double], seed: Long): DataFrame
  30. final def synchronized[T0](arg0: => T0): T0
  31. def toString(): String
  32. final def wait(arg0: Long, arg1: Int): Unit
  33. final def wait(arg0: Long): Unit
  34. final def wait(): Unit

Deprecated Value Members

  1. def finalize(): Unit

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