plot-api / jetbrains.letsPlot.geom / geom_density2df

geom_density2df

class geom_density2df : PolygonAesthetics, Density2dStatAesthetics, Density2dStatParameters, LayerBase

Fill density function contour.

Parameters

data - dictionary or pandas DataFrame, optional. The data to be displayed in this layer. If None, the default, the data is inherited from the plot data as specified in the call to lets_plot.

stat - string, optional. The statistical transformation to use on the data for this layer, as a string. Supported transformations: "identity" (leaves the data unchanged), "count" (counts number of points with same x-axis coordinate), "bin" (counts number of points with x-axis coordinate in the same bin), "smooth" (performs smoothing - linear default)

position - string, optional. Position adjustment, either as a string ("identity", "stack", "dodge", ...), or the result of a call to a position adjustment function.

kernel - string, optional. The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine", "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic")

bw - string or double array, optional. The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd"), or a double array of length 2.

adjust - double, optional. Adjust the value of bandwidth my multiplying it. Changes how smooth the frequency curve is.

n - int array, optional. The number of sampled points for plotting the function (on x and y direction correspondingly)

bins - int, optional. Number of levels.

binWidth - double, optional. Distance between levels.

x - x-axis coordinates.

y - y-axis coordinates.

alpha - transparency level of a point Understands numbers between 0 and 1.

fill - color of geometry filling.

mapping - set of aesthetic mappings. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".

Constructors

<init>

Fill density function contour.

geom_density2df(data: Map<*, *>? = null, stat: StatOptions = Stat.density2df(), position: PosOptions = Pos.identity, showLegend: Boolean = true, sampling: SamplingOptions? = null, x: Double? = null, y: Double? = null, size: Number? = null, linetype: Any? = null, color: Any? = null, fill: Any? = null, alpha: Number? = null, weight: Double? = null, bw: Any? = null, kernel: String? = null, n: Int? = null, adjust: Number? = null, contour: Boolean? = null, bins: Int? = null, binWidth: Number? = null, mapping: Density2dfMapping.() -> Unit = {})

Properties

adjust

double, optional. Adjust the value of bandwidth my multiplying it. Changes how smooth the frequency curve is.

val adjust: Number?

alpha

transparency level of a point Understands numbers between 0 and 1.

val alpha: Number?

bins

int, optional. Number of levels.

val bins: Int?

binWidth

double, optional. Distance between levels.

val binWidth: Number?

bw

string or double array, optional. The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd"), or a double array of length 2.

val bw: Any?

color

val color: Any?

contour

val contour: Boolean?

fill

color of geometry filling.

val fill: Any?

kernel

string, optional. The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine", "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic")

val kernel: String?

linetype

val linetype: Any?

n

int array, optional. The number of sampled points for plotting the function (on x and y direction correspondingly)

val n: Int?

size

val size: Number?

weight

val weight: Double?

x

x-axis coordinates.

val x: Double?

y

y-axis coordinates.

val y: Double?

Functions

seal

fun seal(): Options

Extension Functions

toSpec

fun Layer.toSpec(): MutableMap<String, Any>