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Lets-Plot Kotlin API without dependencies.
/*
* Copyright (c) 2021. JetBrains s.r.o.
* Use of this source code is governed by the MIT license that can be found in the LICENSE file.
*/
package org.jetbrains.letsPlot.geom
import org.jetbrains.letsPlot.core.spec.Option
import org.jetbrains.letsPlot.Stat
import org.jetbrains.letsPlot.intern.GeomKind
import org.jetbrains.letsPlot.intern.Layer
import org.jetbrains.letsPlot.intern.Options
import org.jetbrains.letsPlot.intern.layer.*
import org.jetbrains.letsPlot.intern.layer.geom.AreaAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.DensityMapping
import org.jetbrains.letsPlot.intern.layer.stat.DensityStatAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.DensityStatParameters
import org.jetbrains.letsPlot.pos.positionIdentity
import org.jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Displays a density estimate, which is a smoothed version of the histogram.
*
* ## Examples
*
* - [distributions.ipynb](https://nbviewer.jupyter.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/distributions.ipynb)
*
* - [quantile_parameters.ipynb](https://nbviewer.jupyter.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.3.0/quantile_parameters.ipynb)
*
* @param data The data to be displayed in this layer. If null, the default, the data
* is inherited from the plot data as specified in the call to [letsPlot][org.jetbrains.letsPlot.letsPlot].
* @param stat default = `Stat.density()`. The statistical transformation to use on the data for this layer.
* Supported transformations: `Stat.identity`, `Stat.bin()`, `Stat.count()`, etc. see [Stat][org.jetbrains.letsPlot.Stat].
* @param position Position adjustment: `positionIdentity`, `positionStack()`, `positionDodge()`, etc.
* see [Position](https://lets-plot.org/kotlin/-lets--plot--kotlin/org.jetbrains.letsPlot.pos/).
* @param showLegend default = true.
* false - do not show legend for this layer.
* @param sampling Result of the call to the `samplingXxx()` function.
* To prevent any sampling for this layer pass value `samplingNone`.
* For more info see [sampling.md](https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/sampling.md).
* @param tooltips Result of the call to the `layerTooltips()` function.
* Specifies appearance, style and content.
* @param orientation Specifies the axis that the layer's stat and geom should run along, default = "x".
* Possible values: "x", "y".
* @param x X-axis coordinates.
* @param alpha Transparency level of a layer.
* Understands numbers between 0 and 1.
* @param color Color of geometry lines.
* String in the following formats:
* - RGB/RGBA (e.g. "rgb(0, 0, 255)")
* - HEX (e.g. "#0000FF")
* - color name (e.g. "red")
* - role name ("pen", "paper" or "brush")
*
* Or an instance of the `java.awt.Color` class.
* @param size Line width.
* @param linetype Type of the line.
* Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash",
* 5 = "longdash", 6 = "twodash".
* @param fill Fill color.
* String in the following formats:
* - RGB/RGBA (e.g. "rgb(0, 0, 255)")
* - HEX (e.g. "#0000FF")
* - color name (e.g. "red")
* - role name ("pen", "paper" or "brush")
*
* Or an instance of the `java.awt.Color` class.
* @param weight Used by "density" stat to compute weighted density.
* @param bw The method (or exact value) of bandwidth. Can be String ("nrd0" or "nrd") or Double.
* @param kernel The kernel used to calculate the density function. Choose among "gaussian", "cosine", "optcosine",
* "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic").
* @param n The number of sampled points for plotting the function.
* @param trim default = false If false, each density is computed on the full range of the data.
* If true, each density is computed over the range of that group.
* @param adjust Adjusts the value of bandwidth by multiplying it. Changes how smooth the frequency curve is.
* @param fullScanMax Maximum size of data to use density computation with 'full scan'.
* For bigger data, less accurate but more efficient density computation is applied.
* @param quantiles List of Numbers, default = listOf(0.25, 0.5, 0.75).
* Draws horizontal lines at the given quantiles of the density estimate.
* @param quantileLines default = false.
* Shows the quantile lines.
* @param colorBy default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the color aesthetic for the geometry.
* @param fillBy default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the fill aesthetic for the geometry.
* @param mapping Set of aesthetic mappings.
* Aesthetic mappings describe the way that variables in the data are
* mapped to plot "aesthetics".
*/
class geomDensity(
data: Map<*, *>? = null,
stat: StatOptions = Stat.density(),
position: PosOptions = positionIdentity,
showLegend: Boolean = true,
sampling: SamplingOptions? = null,
tooltips: TooltipOptions? = null,
orientation: String? = null,
override val x: Number? = null,
override val y: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val fill: Any? = null,
override val linetype: Any? = null,
override val size: Number? = null,
override val weight: Any? = null,
override val bw: Any? = null,
override val kernel: String? = null,
override val n: Int? = null,
override val trim: Boolean? = null,
override val adjust: Number? = null,
override val fullScanMax: Int? = null,
override val quantiles: List? = null,
private val quantileLines: Boolean? = null,
override val colorBy: String? = null,
override val fillBy: String? = null,
mapping: DensityMapping.() -> Unit = {}
) : AreaAesthetics,
DensityStatAesthetics,
DensityStatParameters,
WithColorOption,
WithFillOption,
Layer(
mapping = DensityMapping().apply(mapping).seal(),
data = data,
geom = GeomOptions(GeomKind.DENSITY),
stat = stat,
position = position,
showLegend = showLegend,
sampling = sampling,
tooltips = tooltips,
orientation = orientation
) {
override fun seal() = super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal() +
Options.of(
Option.Geom.Density.QUANTILE_LINES to quantileLines
)
}