ResamplingMode

StockSharp.Xaml.Charting.Numerics

Defines the ResamplingMode used by a BaseRenderableSeries

Campos

Auto : ResamplingMode

Auto-detect the most suitable resampling algorithm (Fastest, plus most accurate) for the type of data appended

Cluster2D : ResamplingMode

Groups close points in 2D space

Max : ResamplingMode

Assumes Evenly-spaced data (TimeSeries). Resample by taking the maximum point of oversampled data

Mid : ResamplingMode

Assumes Evenly-spaced data (TimeSeries). Resample by taking the median point of oversampled data

Min : ResamplingMode

Assumes Evenly-spaced data (TimeSeries). Resample by taking the minimum point of oversampled data

MinMax : ResamplingMode

Assumes Evenly-spaced data (TimeSeries). Resample by taking the min-max of oversampled data. This results in the most visually accurate resampling, with the most performant rendering

MinMaxWithUnevenSpacing : ResamplingMode

Does not assume Evenly-spaced data (TimeSeries). Resample by taking the min-max of oversampled data. This results in the most visually accurate resampling, with the most performant rendering

None : ResamplingMode

Do not use resampling when redrawing a series

Nyquist : ResamplingMode

Assumes Evenly-spaced data (TimeSeries). Resample by taking the minimum data-set to accurately represent the original points without incurring aliasing or other artifacts