Lets-Plot-Kotlin/org.jetbrains.letsPlot

Package-level declarations

Examples

More examples you can find here.

Types

Figure

interface Figure

Geom

object Geom

Geom options to pass as a value of geom parameter of layer functions like:

GGBunch

class GGBunch : Figure

Collection of plots created by ggplot function. Use method addPlot() to add plot to 'bunch'. Each plot can have arbitrary location and size. Use show() to draw all plots in bunch.

LetsPlot

object LetsPlot

Stat

object Stat

Stat options to pass as a value of stat parameter of layer functions like:

Functions

asDiscrete

fun asDiscrete(variable: String, label: String? = null, orderBy: String? = null, order: Int? = null, levels: List<Any>? = null): MappingMeta

Marks a numeric variable as categorical. The plot will use a discrete scale for the aesthetic mapping. It is similar to the factor() function from R but works differently - there is no data transformation.

gggrid

fun gggrid(plots: Iterable<Figure?>, ncol: Int? = null, widths: List<Number>? = null, heights: List<Number>? = null, hspace: Number? = null, vspace: Number? = null, fit: Boolean = true, align: Boolean = false, sharex: Any? = null, sharey: Any? = null): SubPlotsFigure

Combines several plots on one figure, organized in a regular grid.

ggmarginal

fun ggmarginal(sides: String, size: Any? = null, layer: Feature): Feature

Converts given geometry layer to a marginal layer. You can add one or more marginal layers to a plot to create a marginal plot.

ggplot

fun ggplot(data: Map<*, *>? = null, mapping: GenericAesMapping.() -> Unit = {}): Plot

ggsize

fun ggsize(width: Number, height: Number): OptionsMap

Specifies overall size of plot.

letsPlot

fun letsPlot(data: Map<*, *>? = null, mapping: GenericAesMapping.() -> Unit = {}): Plot