ResamplingMode

Auto

public const ResamplingMode Auto

value = ResamplingMode.Auto

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

Cluster2D

public const ResamplingMode Cluster2D

value = ResamplingMode.Cluster2D

Groups close points in 2D space

Max

public const ResamplingMode Max

value = ResamplingMode.Max

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

Mid

public const ResamplingMode Mid

value = ResamplingMode.Mid

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

Min

public const ResamplingMode Min

value = ResamplingMode.Min

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

MinMax

public const ResamplingMode MinMax

value = ResamplingMode.MinMax

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

public const ResamplingMode MinMaxWithUnevenSpacing

value = ResamplingMode.MinMaxWithUnevenSpacing

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

public const ResamplingMode None

value = ResamplingMode.None

Do not use resampling when redrawing a series

Nyquist

public const ResamplingMode Nyquist

value = ResamplingMode.Nyquist

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