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/*
* Copyright (c) 2022. 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
import org.jetbrains.letsPlot.Stat
import org.jetbrains.letsPlot.annotations.AnnotationOptions
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.PieAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.PieMapping
import org.jetbrains.letsPlot.intern.layer.geom.PieParameters
import org.jetbrains.letsPlot.intern.layer.stat.Count2dStatAesthetics
import org.jetbrains.letsPlot.pos.positionIdentity
import org.jetbrains.letsPlot.spatial.SpatialDataset
import org.jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Draws pie chart.
*
* ## Examples
*
* - [geom_pie.ipynb](https://nbviewer.jupyter.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.2.0/geom_pie.ipynb)
*
* - [annotations_for_pie.ipynb](https://nbviewer.jupyter.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.2.0/annotations_for_pie.ipynb)
*
* - [stat_count_2d.ipynb](https://nbviewer.jupyter.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.2.0/stat_count_2d.ipynb)
*
* - [geom_pie_stroke_and_spacers.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.4.2/geom_pie_stroke_and_spacers.ipynb)
*
* - [geom_pie_size_unit.ipynb](https://nbviewer.jupyter.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.4.2/geom_pie_size_unit.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.count2d()`. 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 labels Result of the call to the `layerLabels()` function.
* Specifies style and content of the annotations.
* @param map Data-structure containing series of planar shapes and, optionally, associates data series (for example:
* names of States and their boundaries).
*
* Supported shapes: Point and MultiPoint.
*
* All coordinates should be encoded as decimal degrees in WGS84 coordinate reference system.
* Can be used with parameter `mapJoin` for joining data and map coordinates.
* @param mapJoin Pair of Names or Pair of Lists of Names.
* Specifies column names to join the `data` and the `map` coordinates on.
* - Pair.first: column name or list of column names in the `data` dataframe.
* - Pair.second: column name or list of column names in the `map` dataframe.
* @param useCRS By default, all coordinates are converted into degrees of longitude and latitude,
* and these map coordinates are projected onto the screen coordinates using Mercator projection.
* Specify useCRS = "provided" to keep the SpatialDataset's original coordinate reference system (CRS).
* @param x X-axis value.
* @param y Y-axis value.
* @param slice Values associated to pie sectors.
* @param explode Values to explode slices away from their center point, detaching it from the main pie.
* @param size Pie diameter.
* @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 alpha Transparency level of a layer. Understands numbers between 0 and 1.
* @param color Color of inner and outer arcs of pie sector.
* 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 stroke Width of inner and outer arcs of pie sector.
* @param weight Used by `Stat.count2d()` stat to compute weighted sum instead of simple count.
* @param hole default = 0.0.
* A multiplicative factor applied to the pie diameter to draw donut-like chart.
* Understands numbers between 0 and 1.
* @param strokeSide default = "both" ("outer", "inner", "both").
* Defines which arcs of pie sector should have a stroke.
* @param spacerWidth default = 0.75.
* Line width between sectors.
* Spacers are not applied to exploded sectors and to sides of adjacent sectors.
* @param spacerColor Color for spacers between sectors. By default, the "paper" color is used.
* 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 sizeUnit Relates the size of the pie chart to the length of the unit step along one of the axes.
* Possible values: "x", "y". If not specified, no fitting is performed.
* @param fillBy default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the fill aesthetic for the geometry.
* @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 geomPie(
data: Map<*, *>? = null,
stat: StatOptions = Stat.count2d(),
position: PosOptions = positionIdentity,
showLegend: Boolean = true,
sampling: SamplingOptions? = null,
tooltips: TooltipOptions? = null,
labels: AnnotationOptions? = null,
override val map: SpatialDataset? = null,
override val mapJoin: Pair? = null,
override val useCRS: String? = null,
override val x: Number? = null,
override val y: Number? = null,
override val slice: Number? = null,
override val explode: Number? = null,
override val size: Number? = null,
override val fill: Any? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val stroke: Number? = null,
override val weight: Number? = null,
override val hole: Number? = null,
override val strokeSide: String? = null,
override val spacerWidth: Number? = null,
override val spacerColor: Any? = null,
override val sizeUnit: String? = null,
override val fillBy: String? = null,
override val colorBy: String? = null,
mapping: PieMapping.() -> Unit = {}
) : PieAesthetics,
PieParameters,
Count2dStatAesthetics,
WithSizeUnitOption,
WithSpatialParameters,
WithFillOption,
WithColorOption,
Layer(
mapping = PieMapping().apply(mapping).seal(),
data = data,
geom = Geom.pie(),
stat = stat,
position = position,
showLegend = showLegend,
sampling = sampling,
tooltips = tooltips,
labels = labels
) {
override fun seal(): Options {
return super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal()
}
}
