KSLCore/ksl.utilities.maps/BiMap

BiMap

interface BiMap<K : Any, V : Any> : Map<K, V>

Inheritors

Properties

abstract val entries: Set<Map.Entry<K, V>>

abstract val inverse: BiMap<V, K>

abstract val keys: Set<K>

abstract val size: Int

abstract override val values: Set<V>

Functions

boxPlotSummaries

fun Map<String, DoubleArray>.boxPlotSummaries(): Map<String, BoxPlotSummary>

Computes the box plot summaries for the data within the map

confidenceIntervals

fun Map<String, DoubleArray>.confidenceIntervals(level: Double = 0.95): Map<String, Interval>

Computes the confidence intervals for the data in the map

abstract fun containsKey(key: K): Boolean

abstract fun containsValue(value: V): Boolean

open fun forEach(p0: BiConsumer<in K, in V>)

abstract operator fun get(key: K): V?

open fun getOrDefault(key: K, defaultValue: V): V

abstract fun isEmpty(): Boolean

fun Map<String, DoubleArray>.isRectangular(): Boolean

The map of arrays is considered rectangular if all arrays in the map have the same number of elements (same size).

statisticalSummaries

fun Map<String, DoubleArray>.statisticalSummaries(): Map<String, StatisticIfc>

Computes the statistical summaries for the data within the map

fun Map<String, DoubleArray>.to2DArray(): Array<DoubleArray>

Converts the data map to a 2-D array. The values of the map are extracted

fun Map<String, DoubleArray>.toDataFrame(): AnyFrame

Converts the data stored in each array to columns within a DataFrame, with the column names as the key from the map and the columns holding the data. Each array must have the same size.

fun Map<String, Double>.toJson(): String

fun Map<String, DoubleArray>.toMapOfLists(): Map<String, List<Double>>

Converts the inner DoubleArray to List

toObservationData

fun Map<String, DoubleArray>.toObservationData(tableName: String = "tblObservations", context: String? = null, subject: String? = null): List<ObservationDataDb>

Converts the data map to a long format view of the observations.