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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 jetbrains.letsPlot.geom
import jetbrains.letsPlot.Geom
import jetbrains.letsPlot.Pos
import jetbrains.letsPlot.Stat
import jetbrains.letsPlot.intern.Options
import jetbrains.letsPlot.intern.layer.StatOptions
import jetbrains.letsPlot.intern.layer.geom.CrossBarAesthetics
import jetbrains.letsPlot.intern.layer.geom.CrossBarMapping
import jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Display bars with horizontal median line.
* @param 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 ggplot.
* @param stat string, optional
* The statistical transformation to use on the data for this layer.
* @param position string, optional
* Position adjustment, either as a string ("identity", "stack", "dodge",...), or the result of a call to a
* position adjustment function.
* @param tooltips result of the call to the layerTooltips() function.
* Specifies appearance, style and content.
* @param fatten : number, default: 2.5
* A multiplicative factor applied to size of the middle bar
* @param x x-axis coordinates
* @param ymin lower bound for error bar.
* @param ymax upper bound for error bar.
* @param middle position of median bar.
* @param width width of a bar.
* @param alpha transparency level of a layer
* Understands numbers between 0 and 1.
* @param color (colour) color of a geometry lines
* Can be continuous or discrete. For continuous value this will be a color gradient between two colors.
* @param fill color of geometry filling.
* @param size lines width.
* @param linetype type of the line of tile's border
* Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash",
* 5 = "longdash", 6 = "twodash"
* @param mapping set of aesthetic mappings created by aes() function.
* Aesthetic mappings describe the way that variables in the data are
* mapped to plot "aesthetics".
*/
class geomCrossbar(
data: Map<*, *>? = null,
stat: StatOptions = Stat.identity,
position: jetbrains.letsPlot.intern.layer.PosOptions = Pos.dodge,
showLegend: Boolean = true,
sampling: jetbrains.letsPlot.intern.layer.SamplingOptions? = null,
tooltips: TooltipOptions? = null,
val fatten: Double? = null,
override val x: Double? = null,
override val ymin: Double? = null,
override val ymax: Double? = null,
override val middle: Double? = null,
override val width: Double? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val fill: Any? = null,
override val linetype: Any? = null,
override val shape: Any? = null,
override val size: Number? = null,
mapping: CrossBarMapping.() -> Unit = {}
) : CrossBarAesthetics,
jetbrains.letsPlot.intern.layer.LayerBase(
mapping = CrossBarMapping().apply(mapping).seal(),
data = data,
geom = Geom.crossbar(),
stat = stat,
position = position,
showLegend = showLegend,
sampling = sampling,
tooltips = tooltips
) {
override fun seal(): Options {
return super.seal() + Options.of("fatten" to fatten)
}
}