smoothie

func (*DataFrame) Add ¶

func (d *DataFrame) Add(df *DataFrame) *DataFrame

Add two dataframes together

func (*DataFrame) AddConst ¶

func (d *DataFrame) AddConst(f float64) *DataFrame

Add a single value to every value of the dataframe

func (*DataFrame) Avg ¶

func (d *DataFrame) Avg() float64

Return the mean of the dataframe

func (*DataFrame) Cat ¶

func (d *DataFrame) Cat(c *DataFrame) *DataFrame

Concatinate two dataframes

func (*DataFrame) Copy ¶

func (d *DataFrame) Copy() *DataFrame

Copy return a copy of the dataframe

func (*DataFrame) Data ¶

func (d *DataFrame) Data() []float64

Return the contents of a dataframe flattened into a []float64

func (*DataFrame) Derivative ¶

func (d *DataFrame) Derivative() *DataFrame

return a dataframe filled with the derivative values of this dataframe

func (*DataFrame) Div ¶

func (d *DataFrame) Div(df *DataFrame) *DataFrame

Divide a dataframe by another dataframe

func (*DataFrame) DivConst ¶

func (d *DataFrame) DivConst(f float64) *DataFrame

Devide every value of the dataframe by a single value

func (*DataFrame) DoubleExponentialSmooth ¶

func (d *DataFrame) DoubleExponentialSmooth(sf, tf float64) *DataFrame

DoubleExponentialSmooth given a smoothing factor, apply the hold-winters double exponential smoothing algorhythm

func (*DataFrame) DoubleSmoothPredictN ¶

func (d *DataFrame) DoubleSmoothPredictN(n int, sf, tf float64) *DataFrame

DoubleSmoothPredictN return a new DataFrame filled with n predictions

func (*DataFrame) FFT ¶

func (d *DataFrame) FFT() []complex128

Return the real and imaginary parts of the fft

func (*DataFrame) FFTTopFreqs ¶

func (d *DataFrame) FFTTopFreqs() *DataFrame

Return the top frequencies found in the dataframe

func (*DataFrame) ForEach ¶

func (d *DataFrame) ForEach(f func(data float64, index int))

func (*DataFrame) Grow ¶

func (d *DataFrame) Grow(amount int) *DataFrame

Grow the dataframe by a given amount

func (*DataFrame) Index ¶

func (d *DataFrame) Index(i int) float64

Get the value of the dataframe at a given index

func (*DataFrame) Insert ¶

func (d *DataFrame) Insert(i int, val float64) float64

Insert an element to a spesific index of the dataframe

func (*DataFrame) KernalConvolve ¶

func (d *DataFrame) KernalConvolve(kernal *DataFrame) *DataFrame

func (*DataFrame) Len ¶

func (d *DataFrame) Len() int

Return the length of the dataframe

func (*DataFrame) Max ¶

func (d *DataFrame) Max() float64

Return the maximum value of the dataframe

func (*DataFrame) Median ¶

func (d *DataFrame) Median() float64

Return the median value of the dataframe

func (*DataFrame) Min ¶

func (d *DataFrame) Min() float64

Return the minimum value of the dataframe

func (*DataFrame) MovingAverage ¶

func (d *DataFrame) MovingAverage(windowSize int) *DataFrame

calculate the moving average of the dataframe

func (*DataFrame) MultiConst ¶

func (d *DataFrame) MultiConst(f float64) *DataFrame

Multiply every value of the dataframe by a single value

func (*DataFrame) Mutli ¶

func (d *DataFrame) Mutli(df *DataFrame) *DataFrame

Multiply two dataframes together

func (*DataFrame) PlotPoints ¶

func (d *DataFrame) PlotPoints() plotter.XYs

Return a numgo.Plot format for the dataframe

func (*DataFrame) Push ¶

func (d *DataFrame) Push(e float64) float64

Add a new element to the beginning of the dataframe, this will remove the last value of the dataframe

func (*DataFrame) Reduce ¶

func (d *DataFrame) Reduce(newSize int) *DataFrame

Reduce the dataframe to a given size. TODO : (eliothedeman) optomize this

func (*DataFrame) Reverse ¶

func (d *DataFrame) Reverse() *DataFrame

Return a reversed version of the dataframe

func (*DataFrame) Shift ¶

func (d *DataFrame) Shift(offset int) *DataFrame

Shift the pivito of the dataframe.

func (*DataFrame) Shrink ¶

func (d *DataFrame) Shrink(amount int) *DataFrame

Shrink a dataframe by a given amount

func (*DataFrame) SingleExponentialSmooth ¶

func (d *DataFrame) SingleExponentialSmooth(sf float64) *DataFrame

SingleExponentialSmooth applies basic exponential smoothing to the contents of the DataFrame.

func (*DataFrame) Slice ¶

func (d *DataFrame) Slice(b, e int) *DataFrame

return the sub slice of the data as a data frame

func (*DataFrame) Sort ¶

func (d *DataFrame) Sort() *DataFrame

Return a sorted version of the dataframe

func (*DataFrame) StdDev ¶

func (d *DataFrame) StdDev() float64

standard deviation of the data frame

func (*DataFrame) Sub ¶

func (d *DataFrame) Sub(df *DataFrame) *DataFrame

Subtract a dataframe by another dataframe

func (*DataFrame) SubConst ¶

func (d *DataFrame) SubConst(f float64) *DataFrame

Subtract a single value from every value in the dataframe

func (*DataFrame) Sum ¶

func (d *DataFrame) Sum() float64

Sum the values of the dataframe

func (*DataFrame) TripleSmooth ¶

func (d *DataFrame) TripleSmooth(smooth, trend, season float64, period int) *DataFrame

TripleSmooth applies holt-winters triple-exponential smoothing to the given dataframe

func (*DataFrame) Weight ¶

func (d *DataFrame) Weight(wf WeightingFunc) *DataFrame

Apply a weighting function to a dataframe

func (*DataFrame) WeightedMovingAverage ¶

func (d *DataFrame) WeightedMovingAverage(windowSize int, wf WeightingFunc) *DataFrame

Returns a new dataframe with a weighted moving average applied to it