core/org.jetbrains.kotlinx.dataframe.impl.aggregation.aggregators/Aggregators

Aggregators

object Aggregators

Properties

val max: AggregatorOptionSwitch1<Boolean, Comparable<Any>, Comparable<Any>?>

val mean: AggregatorOptionSwitch1<Boolean, Number, Double>

val median: AggregatorOptionSwitch1<Boolean, Comparable<Any>, Comparable<Any>?>

val min: AggregatorOptionSwitch1<Boolean, Comparable<Any>, Comparable<Any>?>

val percentile: AggregatorOptionSwitch2<Double, Boolean, Comparable<Any>, Comparable<Any>?>

val std: AggregatorOptionSwitch2<Boolean, Int, Number, Double>

val sum: AggregatorOptionSwitch2<Boolean, KType, Number, Number>

Functions

fun <T : Comparable<T & Any>?> max(skipNaN: Boolean): Aggregator<T & Any, T?>

fun <T : Comparable<T & Any>?> medianCommon(skipNaN: Boolean): Aggregator<T & Any, T?>

medianComparables

fun <T : Comparable<T & Any>?> medianComparables(): Aggregator<T & Any, T?>

fun <T : Comparable<T & Any>?, Number?> medianNumbers(skipNaN: Boolean): Aggregator<T & Any, Double?>

fun <T : Comparable<T & Any>?> min(skipNaN: Boolean): Aggregator<T & Any, T?>

percentileCommon

fun <T : Comparable<T & Any>?> percentileCommon(percentile: Double, skipNaN: Boolean): Aggregator<T & Any, T?>

percentileComparables

fun <T : Comparable<T & Any>?> percentileComparables(percentile: Double): Aggregator<T & Any, T?>

percentileNumbers

fun <T : Comparable<T & Any>?, Number?> percentileNumbers(percentile: Double, skipNaN: Boolean): Aggregator<T & Any, Double?>