ResamplingMode

Auto

public const ResamplingMode Auto

value = ResamplingMode.Auto

自动检测附加数据类型的最合适的再模拟算法( Fastest, 加上最准确的)

Cluster2D

public const ResamplingMode Cluster2D

value = ResamplingMode.Cluster2D

2D 空间中的组近点

Max

public const ResamplingMode Max

value = ResamplingMode.Max

假设平空数据(%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Mid

public const ResamplingMode Mid

value = ResamplingMode.Mid

假设平空数据(%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Min

public const ResamplingMode Min

value = ResamplingMode.Min

假设平空数据(%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

MinMax

public const ResamplingMode MinMax

value = ResamplingMode.MinMax

假设偶位数据(TimeSeries) 。 通过使用被过度抽样的数据的分母重取样本。 由此可以产生视觉上最准确的再样, 并进行最出色的渲染

MinMaxWithUnevenSpacing

public const ResamplingMode MinMaxWithUnevenSpacing

value = ResamplingMode.MinMaxWithUnevenSpacing

假设数据不为平空(TimeSeries) 。 使用多采样数据的分母重取样本。 这样做可以进行最直观的精确再样, 并进行最出色的渲染

None

public const ResamplingMode None

value = ResamplingMode.None

重绘制序列时不要使用再复制

Nyquist

public const ResamplingMode Nyquist

value = ResamplingMode.Nyquist

假设平空数据(TimeSeries) 。 通过使用最小数据集来准确表示原始点, 而不发生别名或其他文物 。