plot-api / jetbrains.letsPlot.geom / geom_density2df / <init>

<init>

geom_density2df(data: Map<*, *>? = null, stat: StatOptions = Stat.density2df(), position: PosOptions = Pos.identity, showLegend: Boolean = true, sampling: SamplingOptions? = null, tooltips: TooltipOptions? = 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 = {})

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.

tooltips - result of the call to the layer_tooltips() function. Specifies appearance, style and content.

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".