Meziantou.FrameworkDensityTransform Class
Estimates the probability density of the x values with a Gaussian kernel, for each series (the Series channel, else the colors). Each series becomes rows of evenly spaced x values, with their density as y. Draw it with an AreaMark<T> or a LineMark<T>: a density plot. The y channel of the mark is ignored.
public sealed class DensityTransform : Transform- Inheritance
TransformDensityTransform
Constructors
| Name | Description |
|---|---|
| DensityTransform() |
DensityTransform()
DensityTransform.cspublic DensityTransform()No documentation is available.
Properties
| Name | Description |
|---|---|
| Bandwidth | Gets or sets the bandwidth of the kernel, in the unit of x, or null for Silverman's rule of thumb. A larger bandwidth gives a smoother curve. |
| Cut | Gets or sets how far the curves go beyond the smallest and the largest values, in bandwidths. The default is 3, where the density is almost zero. |
| Samples | Gets or sets the number of points of each curve. The default is 100. |
Bandwidth
DensityTransform.csSamples
DensityTransform.csGets or sets the number of points of each curve. The default is 100.
public int Samples { get; set; }