eu.fthevenet.binjr.data.timeseries.transform

Class LargestTriangleThreeBucketsTransform

java.lang.Object

eu.fthevenet.binjr.data.timeseries.transform.TimeSeriesTransform<java.lang.Double>

eu.fthevenet.binjr.data.timeseries.transform.LargestTriangleThreeBucketsTransform

public class LargestTriangleThreeBucketsTransform
extends TimeSeriesTransform<java.lang.Double>

A time series transform that applies the Largest-Triangle-Three-Buckets algorithm to reduce the number of disreet data points in a series while keeping a good visual approximation of its appearance when plotted.

Author:

Frederic Thevenet

Constructor Summary

Constructors

Constructor and Description
LargestTriangleThreeBucketsTransform(int threshold) Initializes a new instnace of the LargestTriangleThreeBucketsTransform class.

Method Summary

Modifier and Type	Method and Description
java.util.Map<TimeSeriesInfo<java.lang.Double>,TimeSeriesProcessor<java.lang.Double>>	apply(java.util.Map<TimeSeriesInfo<java.lang.Double>,TimeSeriesProcessor<java.lang.Double>> m) The actual transform implementation

Methods inherited from class eu.fthevenet.binjr.data.timeseries.transform.TimeSeriesTransform

getName, transform

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LargestTriangleThreeBucketsTransform

public LargestTriangleThreeBucketsTransform(int threshold)

Initializes a new instnace of the LargestTriangleThreeBucketsTransform class.

Parameters:

threshold - the maximum number of points to keep following the reduction.

Method Detail

apply

public java.util.Map<TimeSeriesInfo<java.lang.Double>,TimeSeriesProcessor<java.lang.Double>> apply(java.util.Map<TimeSeriesInfo<java.lang.Double>,TimeSeriesProcessor<java.lang.Double>> m)

Description copied from class: TimeSeriesTransform

The actual transform implementation

Specified by:

apply in class TimeSeriesTransform<java.lang.Double>

Parameters:

m - the time series to apply the transform to.

Returns:

A map of the transformed series.