SDK/com.quantactions.sdk/TimeSeries/ScreenTimeAggregateTimeSeries

ScreenTimeAggregateTimeSeries

class ScreenTimeAggregateTimeSeries(values: List<ScreenTimeAggregate> = mutableListOf(), timestamps: List<ZonedDateTime> = mutableListOf(), confidenceIntervalLow: List<ScreenTimeAggregate> = mutableListOf(), confidenceIntervalHigh: List<ScreenTimeAggregate> = mutableListOf(), confidence: List<Double> = mutableListOf()) : TimeSeries<ScreenTimeAggregate>

Constructors

constructor(values: List<ScreenTimeAggregate> = mutableListOf(), timestamps: List<ZonedDateTime> = mutableListOf(), confidenceIntervalLow: List<ScreenTimeAggregate> = mutableListOf(), confidenceIntervalHigh: List<ScreenTimeAggregate> = mutableListOf(), confidence: List<Double> = mutableListOf())

Functions

dropLast

open override fun dropLast(n: Int): TimeSeries.ScreenTimeAggregateTimeSeries

Returns a list containing all elements except last n elements.

dropna

open override fun dropna(): TimeSeries<ScreenTimeAggregate>

extractDoubleTimeSeries

open override fun extractDoubleTimeSeries(flag: Int): TimeSeries.DoubleTimeSeries

extractMonthlyAverages

open override fun extractMonthlyAverages(): TimeSeries.ScreenTimeAggregateTimeSeries

extractWeeklyAverages

open override fun extractWeeklyAverages(): TimeSeries.ScreenTimeAggregateTimeSeries

fillMissingDays

open override fun fillMissingDays(rewindDays: Int, inplace: Boolean): TimeSeries.ScreenTimeAggregateTimeSeries

This is an in-place operation. Use this function to fill missing days (the function adds NaNs) both in the future and in the past (up to the specified number of days in the past). Since the SDK does not return a value for the score in a day where the confidence it too low, this function can be useful to fill in blanks for UI/UX purposes.

filterByTimestamps

fun filterByTimestamps(filter: (ZonedDateTime) -> Boolean): TimeSeries.ScreenTimeAggregateTimeSeries

This function helps filtering the TimeSeries for elements that follow a certain rule in the timestamps. Provide a lambda that receives a ZonedDateTime and return a boolean.

filterByValues

fun filterByValues(filter: (ScreenTimeAggregate) -> Boolean): TimeSeries.ScreenTimeAggregateTimeSeries

This function helps filtering the TimeSeries for elements that follow a certain rule in the values. Provide a lambda that receives a Double and returns a boolean.

getPlaceholderTimeSeries

open override fun getPlaceholderTimeSeries(bias: Double, deviation: Double): TimeSeries.ScreenTimeAggregateTimeSeries

getRandomSample

open override fun getRandomSample(n: Int): TimeSeries<ScreenTimeAggregate>

takeLast

open override fun takeLast(n: Int): TimeSeries.ScreenTimeAggregateTimeSeries

Returns a time series containing the last n elements.