ResamplingMode
Defines the ResamplingMode used by a BaseRenderableSeries
Fields
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