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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.Geom.line
import org.jetbrains.letsPlot.Stat
import org.jetbrains.letsPlot.intern.Layer
import org.jetbrains.letsPlot.intern.layer.PosOptions
import org.jetbrains.letsPlot.intern.layer.SamplingOptions
import org.jetbrains.letsPlot.intern.layer.StatOptions
import org.jetbrains.letsPlot.intern.layer.WithColorOption
import org.jetbrains.letsPlot.intern.layer.geom.LineAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.LineMapping
import org.jetbrains.letsPlot.pos.positionIdentity
import org.jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Connects points in the order of the variable on the x-axis.
* In the case points need to be connected in the order in which they appear in the data, use 'geomPath'.
*
* ## Examples
*
* - [lines.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/lines.ipynb)
*
* - [error_bars.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/error_bars.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 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 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 x X-axis value.
* @param y Y-axis value.
* @param alpha Transparency level of a layer.
* Understands numbers between 0 and 1.
* @param color Color of the geometry.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param linetype Type of the line.
* Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash",
* 5 = "longdash", 6 = "twodash".
* 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 geomLine(
data: Map<*, *>? = null,
stat: StatOptions = Stat.identity,
position: PosOptions = positionIdentity,
showLegend: Boolean = true,
manualKey: Any? = null,
sampling: SamplingOptions? = null,
tooltips: TooltipOptions? = null,
override val x: Number? = null,
override val y: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val linetype: Any? = null,
override val size: Number? = null,
override val colorBy: String? = null,
mapping: LineMapping.() -> Unit = {}
) : LineAesthetics,
WithColorOption,
Layer(
mapping = LineMapping().apply(mapping).seal(),
data = data,
geom = line(),
stat = stat,
position = position,
showLegend = showLegend,
manualKey = manualKey,
sampling = sampling,
tooltips = tooltips
) {
override fun seal() = super.seal() +
super.seal()
}
