Function histogram2d 

pub fn histogram2d<T>(
    x: ArrayView<'_, T, Ix1>,
    y: ArrayView<'_, T, Ix1>,
    bins: Option<(usize, usize)>,
    range: Option<((T, T), (T, T))>,
    weights: Option<ArrayView<'_, T, Ix1>>,
) -> Histogram2dResult<T>
where
    T: Clone + Float + FromPrimitive,

Calculate a 2D histogram of data

Arguments

• x - The x coordinates of the data points
• y - The y coordinates of the data points
• bins - Either a tuple (x_bins, y_bins) for the number of bins, or None for 10 bins in each direction
• range - Optional tuple ((x_min, x_max), (y_min, y_max)) to use. If None, the range is based on data
• weights - Optional array of weights for each data point

Returns

A tuple containing (histogram, x_edges, y_edges)

Examples

use ndarray::array;
use scirs2_core::ndarray_ext::stats::histogram2d;

let x = array![0.1, 0.5, 1.3, 2.5, 3.1, 3.8, 4.2, 4.9];
let y = array![0.2, 0.8, 1.5, 2.0, 3.0, 3.2, 3.5, 4.5];
let (hist, x_edges, y_edges) = histogram2d(x.view(), y.view(), Some((4, 4)), None, None).unwrap();

assert_eq!(hist.shape(), &[4, 4]);
assert_eq!(x_edges.len(), 5);
assert_eq!(y_edges.len(), 5);