core/org.jetbrains.kotlinx.dataframe.impl.aggregation.modes/aggregateOf

aggregateOf

internal inline fun <C, reified V, R> Aggregator<V & Any, R>.aggregateOf(values: Sequence<C>, crossinline transform: (C) -> V): R

Aggregates values by first applying transform to each element of the sequence and then applying the Aggregator (this) to the resulting sequence.

Type Parameters

is used to infer whether there are nulls in the values fed to the aggregator!

@PublishedApi

internal inline fun <C, reified V, R> Aggregator<V & Any, R>.aggregateOf(column: DataColumn<C>, crossinline transform: (C) -> V): R

Aggregates column by first applying transform to each element of the column and then applying the Aggregator (this) to the resulting sequence.

Type Parameters

is used to infer whether there are nulls in the values fed to the aggregator!

@PublishedApi

internal inline fun <T, reified V, R> Aggregator<*, R>.aggregateOf(frame: DataFrame<T>, crossinline expression: RowExpression<T, V>): R

Aggregates frame by first applying expression to each row of the frame and then applying the Aggregator (this) to the resulting sequence.

Type Parameters

is used to infer whether there are nulls in the values fed to the aggregator!

@PublishedApi

internal inline fun <T, reified C, reified R> Aggregator<*, R>.aggregateOf(data: Grouped<T>, resultName: String? = null, crossinline expression: RowExpression<T, C>): DataFrame<T>

Aggregates data by first applying expression to each row of the frame and then

Type Parameters

is used to infer whether there are nulls in the values fed to the aggregator!

@PublishedApi

internal inline fun <T, reified C, reified R> Aggregator<*, R>.aggregateOf(data: PivotGroupBy<T>, crossinline expression: RowExpression<T, C>): DataFrame<T>

@PublishedApi

internal inline fun <T, reified C, reified R> Grouped<T>.aggregateOf(resultName: String?, crossinline expression: RowExpression<T, C>, aggregator: Aggregator<C & Any, R>): DataFrame<T>

@PublishedApi

internal inline fun <T, reified C, R> PivotGroupBy<T>.aggregateOf(crossinline expression: RowExpression<T, C>, aggregator: Aggregator<C & Any, R>): DataFrame<T>

Type Parameters

is used to infer whether there are nulls in the values fed to the aggregator!