Struct GeomRaster 

pub struct GeomRaster {
    pub fill: (u8, u8, u8),
    pub alpha: f64,
}

Raster geometry — a dense regular grid of filled cells (R’s geom_raster).

Reads x, y (cell centres) and fill; the cell size is inferred from the smallest spacing between distinct x/y values. Cells are drawn without a stroke, giving the flat “image” look of a heatmap/raster.

Fields

fill: (u8, u8, u8)

alpha: f64

Trait Implementations

impl Default for GeomRaster

fn default() -> Self

Returns the “default value” for a type.

impl Geom for GeomRaster

fn draw( &self, data: &DataFrame, coord: &dyn Coord, scales: &ScaleSet, _theme: &Theme, backend: &mut dyn DrawBackend, ) -> Result<(), RenderError>

Draw this geometry.

fn required_aes(&self) -> Vec<Aesthetic>

Required aesthetics.

fn default_stat(&self) -> Box<dyn Stat>

Default stat for this geom.

fn default_position(&self) -> Box<dyn Position>

Default position adjustment.

fn default_params(&self) -> GeomParams

Non-mapped visual defaults.

fn name(&self) -> &str

Name for debug/display.

fn set_series_color(&mut self, color: (u8, u8, u8))

Apply a brand/primary color to this geom’s single-series default (its color or fill). The build pipeline calls this only when the layer has no color/fill aesthetic mapped, so an explicit mapping always wins. The default is a no-op; series geoms override it.

fn include_zero_baseline(&self) -> bool

Whether this geom draws from a 0 baseline, so the Y scale should include 0 even when y is explicitly mapped (bars/columns/area/histograms — as in ggplot2). Default false.

fn allows_infinite(&self) -> bool

Whether -Inf/Inf position values are meaningful for this geom (ggplot2: “extend to the panel edge”). Rows with infinite positions are otherwise dropped with a warning before stats run. NaN is always dropped. Default false; geom_rect returns true.

fn setup_data(&self, _data: &mut DataFrame)

Geom-specific data preparation after the stat and position steps but before scale training (ggplot2’s GeomX$setup_data) — e.g. a tile adds its xmin/xmax/ymin/ymax extents so continuous scales train on them. Default: no-op.