plot-api / jetbrains.letsPlot.geom / geom_crossbar / <init>

<init>

geom_crossbar(data: Map<*, *>? = null, stat: StatOptions = Stat.identity, position: PosOptions = Pos.dodge, showLegend: Boolean = true, sampling: SamplingOptions? = null, tooltips: TooltipOptions? = null, fatten: Double? = null, x: Double? = null, ymin: Double? = null, ymax: Double? = null, middle: Double? = null, width: Double? = null, alpha: Number? = null, color: Any? = null, fill: Any? = null, linetype: Any? = null, shape: Any? = null, size: Number? = null, mapping: CrossBarMapping.() -> Unit = {})

Display bars with horizontal median line.

Parameters

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.

stat - string, optional The statistical transformation to use on the data for this layer.

position - string, optional Position adjustment, either as a string ("identity", "stack", "dodge",...), or the result of a call to a position adjustment function.

tooltips - result of the call to the layer_tooltips() function. Specifies appearance, style and content.

fatten - : number, default: 2.5 A multiplicative factor applied to size of the middle bar

x - x-axis coordinates

ymin - lower bound for error bar.

ymax - upper bound for error bar.

middle - position of median bar.

width - width of a bar.

alpha - transparency level of a layer Understands numbers between 0 and 1.

color - (colour) color of a geometry lines Can be continuous or discrete. For continuous value this will be a color gradient between two colors.

fill - color of geometry filling.

size - lines width.

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"

mapping - set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".