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/*
* 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.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.Density2dMapping
import org.jetbrains.letsPlot.intern.layer.geom.PathAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.ContourStatAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.Density2dStatAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.Density2dStatParameters
import org.jetbrains.letsPlot.pos.positionIdentity
import org.jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Displays density function contour.
*
* By default, this geom uses `coordFixed()`.
* However, this may not be the best choice when the values on the X/Y axis have significantly different magnitudes.
* In such cases, try using `coordCartesian()`.
*
* ## Notes
*
* Computed variables:
*
* - ..group.. : number of density estimate contour line.
* - ..level.. : calculated value of the density estimate for given contour line.
*
* ## Examples
*
* - [density_2d.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/density_2d.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.density2D()`. 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 inheritAes default = true.
* false - do not combine the layer aesthetic mappings with the plot shared mappings.
* @param manualKey String or result of the call to the `layerKey()` function.
* The key to show in the manual legend. Specifies the text for the legend label or advanced settings using the `layerKey()` function.
* @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.html](https://lets-plot.org/kotlin/sampling.html).
* @param tooltips Result of the call to the `layerTooltips()` function.
* Specifies appearance, style and content.
* @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 bw The method (or exact value) of bandwidth. Either a String (choose among "nrd0" and "nrd"),
* or a Double array of length 2.
* @param n The number of sampled points for plotting the function (on x and y direction correspondingly).
* @param adjust Adjusts the value of bandwidth by multiplying it. Changes how smooth the frequency curve is.
* @param contour If true, contour the results of the 2d density estimation.
* @param bins Number of levels.
* @param binWidth Distance between levels.
* @param weight Used by density stat to compute weighted density.
* @param x X-axis coordinates of the center of rectangles, forming a tessellation.
* @param y Y-axis coordinates of the center of rectangles, forming a tessellation.
* @param z Value at point (x, y).
* @param alpha Transparency level of a layer.
* Understands numbers between 0 and 1.
* @param color Color of geometry.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param linetype The type of the line.
* Accept codes or names (0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash", 5 = "longdash", 6 = "twodash"),
* a hex string (up to 8 digits for dash-gap lengths),
* or a pattern `offset to listOf(dash, gap, ...)` / `listOf(dash, gap, ...)`.
* For more info see: [aesthetics.html#line-types](https://lets-plot.org/kotlin/aesthetics.html#line-types).
* @param size Line width.
* @param colorBy default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the color 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 geomDensity2D(
data: Map<*, *>? = null,
stat: StatOptions = Stat.density2D(),
position: PosOptions = positionIdentity,
showLegend: Boolean = true,
inheritAes: Boolean? = null,
manualKey: Any? = null,
sampling: SamplingOptions? = null,
tooltips: TooltipOptions? = null,
override val x: Number? = null,
override val y: Number? = null,
override val z: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val linetype: Any? = null,
override val size: Number? = null,
override val weight: Number? = null,
override val bw: Any? = null,
override val kernel: String? = null,
override val n: Int? = null,
override val adjust: Number? = null,
override val contour: Boolean? = null,
override val bins: Int? = null,
override val binWidth: Number? = null,
override val colorBy: String? = null,
mapping: Density2dMapping.() -> Unit = {}
) : PathAesthetics,
ContourStatAesthetics,
Density2dStatAesthetics,
Density2dStatParameters,
WithColorOption,
Layer(
mapping = Density2dMapping().apply(mapping).seal(),
data = data,
geom = GeomOptions(GeomKind.DENSITY2D),
stat = stat,
position = position,
showLegend = showLegend,
inheritAes = inheritAes,
manualKey = manualKey,
sampling = sampling,
tooltips = tooltips
) {
override fun seal(): Options {
return super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal()
}
}
