Struct ndarray_stats::histogram::GridBuilder

pub struct GridBuilder<B: BinsBuildingStrategy> { /* private fields */ }

A builder used to create Grid instances for histogram computations.

Examples

Basic usage, creating a Grid with some observations and a given strategy:

use ndarray::Array;
use ndarray_stats::histogram::{strategies::Auto, Bins, Edges, Grid, GridBuilder};

// 1-dimensional observations, as a (n_observations, n_dimension) 2-d matrix
let observations = Array::from_shape_vec(
    (12, 1),
    vec![1, 4, 5, 2, 100, 20, 50, 65, 27, 40, 45, 23],
).unwrap();

// The optimal grid layout is inferred from the data, given a chosen strategy, Auto in this case
let grid = GridBuilder::<Auto<usize>>::from_array(&observations).unwrap().build();
// Equivalently, build a Grid directly
let expected_grid = Grid::from(vec![Bins::new(Edges::from(vec![1, 20, 39, 58, 77, 96, 115]))]);

assert_eq!(grid, expected_grid);

Implementations

impl<A, B> GridBuilder<B> where
    A: Ord,
    B: BinsBuildingStrategy<Elem = A>, 

pub fn from_array<S>(array: &ArrayBase<S, Ix2>) -> Result<Self, BinsBuildError> where
    S: Data<Elem = A>, 

Returns a GridBuilder for building a Grid with a given strategy and some observations in a 2-dimensionalarray with shape (n_observations, n_dimension).

Errors

It returns BinsBuildError if it is not possible to build a Grid given the observed data according to the chosen strategy.

Examples

See Trait-level examples for basic usage.

pub fn build(&self) -> Grid<A>

Returns a Grid instance, with building parameters infered in from_array, according to the specified strategy and observations provided.

Examples

See [Trait-level examples] for basic usage.