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

<init>

geom_text(data: Map<*, *>? = null, stat: StatOptions = Stat.identity, position: PosOptions = identity, showLegend: Boolean = true, sampling: SamplingOptions? = null, x: Double? = null, y: Double? = null, label: String? = null, alpha: Double? = null, color: Any? = null, size: Double? = null, family: String? = null, fontface: String? = null, hjust: Any? = null, vjust: Any? = null, angle: Double? = null, mapping: TextMapping.() -> Unit = {})

Adds text directly to the plot

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 value.

y - y-axis value.

label - text to add to plot.

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

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

size - font size.

family - ('sans' | 'serif' | 'mono' | any other like: "Times New Roman") Font family. The default is 'sans'

fontface - ('plain' | 'bold' | 'italic' | 'bold italic') Font style and weight. The default is 'plain'

hjust - ('left', 'middle', 'right') or number between 0 ('right') and 1 ('left'). Horizontal text alignment.

vjust - ('bottom', 'center', 'top') or number between 0 ('bottom') and 1 ('top'). Vertical text alignment.

angle - text rotation angle in degrees.

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