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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.hline
import jetbrains.letsPlot.Pos.identity
import jetbrains.letsPlot.Stat
import jetbrains.letsPlot.intern.layer.StatOptions
import jetbrains.letsPlot.intern.layer.geom.HLineAesthetics
import jetbrains.letsPlot.intern.layer.geom.HLineMapping
import jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName", "SpellCheckingInspection")
/**
* Add a straight horizontal line to the plot.
* @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 [letsPlot][jetbrains.letsPlot.letsPlot].
* @param 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)
* @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 yintercept line y-intercept
* The value of y at the point where the line crosses the y axis.
* @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 size line 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.
* Aesthetic mappings describe the way that variables in the data are
* mapped to plot "aesthetics".
*/
class geomHLine(
data: Map<*, *>? = null,
stat: StatOptions = Stat.identity,
position: jetbrains.letsPlot.intern.layer.PosOptions = identity,
showLegend: Boolean = true,
sampling: jetbrains.letsPlot.intern.layer.SamplingOptions? = null,
tooltips: TooltipOptions? = null,
@Suppress("SpellCheckingInspection")
override val yintercept: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val linetype: Any? = null,
override val size: Number? = null,
mapping: HLineMapping.() -> Unit = {}
) : HLineAesthetics,
jetbrains.letsPlot.intern.layer.LayerBase(
mapping = HLineMapping().apply(mapping).seal(),
data = data,
geom = hline(),
stat = stat,
position = position,
showLegend = showLegend,
sampling = sampling,
tooltips = tooltips
)
