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Showing content from https://api-docs.databricks.com/scala/spark/latest/org/apache/spark/sql/DataFrameStatFunctions.html below:

Databricks Scala Spark API - org.apache.spark.sql.DataFrameStatFunctions

final class DataFrameStatFunctions extends AnyRef

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

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