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

<init>

geom_area(data: Map<*, *>? = null, stat: StatOptions = identity, position: PosOptions = Pos.stack, showLegend: Boolean = true, sampling: SamplingOptions? = null, x: Double? = null, y: Double? = null, alpha: Double? = null, color: Any? = null, fill: Any? = null, linetype: Any? = null, size: Double? = null, mapping: AreaMapping.() -> Unit = {})

Display an area.

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 lets_plot.

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)

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

x - x-axis coordinates.

y - y-axis coordinates.

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.

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".

size - line width.

mapping - set of aesthetic mappings. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".