Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* 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
import org.jetbrains.letsPlot.Stat
import org.jetbrains.letsPlot.annotations.AnnotationOptions
import org.jetbrains.letsPlot.intern.Layer
import org.jetbrains.letsPlot.intern.layer.*
import org.jetbrains.letsPlot.intern.layer.geom.HistogramAesthetics
import org.jetbrains.letsPlot.intern.layer.geom.HistogramMapping
import org.jetbrains.letsPlot.intern.layer.stat.BinStatAesthetics
import org.jetbrains.letsPlot.intern.layer.stat.BinStatParameters
import org.jetbrains.letsPlot.pos.positionStack
import org.jetbrains.letsPlot.tooltips.TooltipOptions
@Suppress("ClassName")
/**
* Displays a 1d distribution by dividing variable mapped to x axis into bins and counting the number of observations in each bin.
*
* ## Examples
*
* - [distributions.ipynb](https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/kotlin_examples/cookbook/distributions.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.bin()`. 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 default = `positionStack()`. 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 labels Result of the call to the `layerLabels()` function.
* Specifies style and content of the annotations.
* @param orientation Specifies the axis that the layer's stat and geom should run along, default = "x".
* Possible values: "x", "y".
* @param x X-axis value (this value will produce cases or bins for bars).
* @param y Y-axis value (this value will be used to multiply the bar heights), setting y to "..density.." produces
* normalized (density) histogram.
* @param alpha Transparency level of a layer.
* Understands numbers between 0 and 1.
* @param color Color of geometry lines.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param fill Fill color.
* For more info see: [aesthetics.html#color-and-fill](https://lets-plot.org/kotlin/aesthetics.html#color-and-fill).
* @param size Defines bar line width.
* @param weight Used by `Stat.bin()` to compute weighted sum instead of simple count.
* @param bins Number of bins. Overridden by `binWidth`.
* @param binWidth The width of the bins. The default is to use bin widths that cover
* the entire range of the data. You should always override this value, exploring multiple widths
* to find the best to illustrate the stories in your data.
* @param center Specifies x-value to align bin centers to.
* @param boundary Specifies x-value to align bin boundary (i.e. point between bins) to.
* @param threshold default = null
* Only bins with a `..count..` greater than the threshold will be displayed.
* This is useful for free scales in facets - use threshold=0 to make the plot take up the entire panel space.
* @param colorBy default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the color aesthetic for the geometry.
* @param fillBy default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c").
* Defines the fill 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 geomHistogram(
data: Map<*, *>? = null,
stat: StatOptions = Stat.bin(),
position: PosOptions = positionStack(),
showLegend: Boolean = true,
manualKey: Any? = null,
sampling: SamplingOptions? = null,
tooltips: TooltipOptions? = null,
labels: AnnotationOptions? = null,
orientation: String? = null,
override val x: Number? = null,
override val y: Number? = null,
override val alpha: Number? = null,
override val color: Any? = null,
override val fill: Any? = null,
override val size: Number? = null,
override val weight: Any? = null,
override val bins: Int? = null,
override val binWidth: Number? = null,
override val center: Number? = null,
override val boundary: Number? = null,
override val threshold: Number? = null,
override val colorBy: String? = null,
override val fillBy: String? = null,
mapping: HistogramMapping.() -> Unit = {}
) : HistogramAesthetics,
BinStatAesthetics,
BinStatParameters,
WithColorOption,
WithFillOption,
Layer(
mapping = HistogramMapping().apply(mapping).seal(),
data = data,
geom = Geom.histogram(),
stat = stat,
position = position,
showLegend = showLegend,
manualKey = manualKey,
sampling = sampling,
tooltips = tooltips,
labels = labels,
orientation = orientation
) {
override fun seal() = super.seal() +
super.seal() +
super.seal() +
super.seal() +
super.seal()
}
