Struct StatSummaryBin 

pub struct StatSummaryBin {
    pub bins: usize,
    pub fun_y: SummaryFun,
    pub fun_ymin: SummaryFun,
    pub fun_ymax: SummaryFun,
}

Bin x values and apply summary function to y within each bin. Produces x (bin center), y, ymin, ymax columns.

Fields

bins: usize

fun_y: SummaryFun

fun_ymin: SummaryFun

fun_ymax: SummaryFun

Implementations

impl StatSummaryBin

pub fn with_bins(self, bins: usize) -> Self

pub fn with_fun(self, fun_y: SummaryFun) -> Self

pub fn with_fun_range(self, fun_ymin: SummaryFun, fun_ymax: SummaryFun) -> Self

Trait Implementations

impl Default for StatSummaryBin

fn default() -> Self

Returns the “default value” for a type.

impl Stat for StatSummaryBin

fn compute_group(&self, data: &DataFrame, _scales: &ScaleSet) -> DataFrame

Transform data for a single group.

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

Required aesthetics this stat needs.

fn name(&self) -> &str

Name for debug/display.

fn default_aes(&self) -> Aes

Default aesthetic mappings this stat produces.

fn panelwise(&self) -> bool

If true, the stat receives every row of a panel at once (grouped only by facet variables) instead of once per aesthetic group. Needed for cross-group comparisons such as stat_compare_means, which must see all groups together. Defaults to per-group behaviour.

fn validate(&self, _warnings: &mut Vec<String>)

Validate the stat’s own fixed configuration (not the data) and push a human-readable warning for each problem found — e.g. StatBinHex::binwidth being NaN, zero or negative. Called once per layer, before compute_group runs (which has no warnings channel of its own: the per-group call only sees &DataFrame and &ScaleSet, not the plot’s warnings sink). Default: no-op.