package chart const ( // DefaultExponentialMovingAverageSigma is the default exponential smoothing factor. DefaultExponentialMovingAverageSigma = 0.25 ) // ExponentialMovingAverageSeries is a computed series. type ExponentialMovingAverageSeries struct { Name string Style Style YAxis YAxisType // Sigma is the 'smoothing factor' parameter. Sigma float64 InnerSeries ValueProvider valueBuffer []float64 } // GetName returns the name of the time series. func (mas ExponentialMovingAverageSeries) GetName() string { return mas.Name } // GetStyle returns the line style. func (mas ExponentialMovingAverageSeries) GetStyle() Style { return mas.Style } // GetYAxis returns which YAxis the series draws on. func (mas ExponentialMovingAverageSeries) GetYAxis() YAxisType { return mas.YAxis } // Len returns the number of elements in the series. func (mas *ExponentialMovingAverageSeries) Len() int { return mas.InnerSeries.Len() } // GetSigma returns the smoothing factor for the serise. func (mas ExponentialMovingAverageSeries) GetSigma(defaults ...float64) float64 { if mas.Sigma == 0 { if len(defaults) > 0 { return defaults[0] } return DefaultExponentialMovingAverageSigma } return mas.Sigma } // GetValue gets a value at a given index. func (mas *ExponentialMovingAverageSeries) GetValue(index int) (x float64, y float64) { if mas.InnerSeries == nil { return } if mas.valueBuffer == nil || index == 0 { mas.valueBuffer = make([]float64, mas.InnerSeries.Len()) } vx, vy := mas.InnerSeries.GetValue(index) x = vx if index == 0 { mas.valueBuffer[0] = vy y = vy return } sig := mas.GetSigma() mas.valueBuffer[index] = sig*vy + ((1.0 - sig) * mas.valueBuffer[index-1]) y = mas.valueBuffer[index] return } // GetLastValue computes the last moving average value but walking back window size samples, // and recomputing the last moving average chunk. func (mas ExponentialMovingAverageSeries) GetLastValue() (x float64, y float64) { if mas.InnerSeries == nil { return } return 0.0, 0.0 //this one is going to be a bitch. } // Render renders the series. func (mas *ExponentialMovingAverageSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) { style := mas.Style.WithDefaultsFrom(defaults) DrawLineSeries(r, canvasBox, xrange, yrange, style, mas) }