Enum BinMethod 

pub enum BinMethod {
    Sturges,
    Scott,
    FreedmanDiaconis,
}

Method for computing optimal number of histogram bins.

Variants

Sturges

Sturges’ rule: k = ⌈log₂(n)⌉ + 1. Best for near-normal data.

Scott

Scott’s rule: h = 3.49·σ·n^(-1/3). Width-based.

FreedmanDiaconis

Freedman-Diaconis rule: h = 2·IQR·n^(-1/3). Robust to outliers.

Trait Implementations

impl Clone for BinMethod

fn clone(&self) -> BinMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BinMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Copy for BinMethod