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KernelDensity2D

Struct KernelDensity2D 

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pub struct KernelDensity2D {
    pub x: Vec<f64>,
    pub y: Vec<f64>,
    pub z: Array2<f64>,
}
Expand description

2D Kernel Density Estimation result

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§x: Vec<f64>

X grid points

§y: Vec<f64>

Y grid points

§z: Array2<f64>

Density values (2D grid: x.len() × y.len())

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impl KernelDensity2D

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pub fn estimate( data_x: &[f64], data_y: &[f64], adjust: f64, n_points: usize, ) -> KdeResult<Self>

Compute 2D kernel density estimate using FFT-based convolution

§Arguments
  • data_x - X coordinates of data points
  • data_y - Y coordinates of data points
  • adjust - Bandwidth adjustment factor (default: 1.0)
  • n_points - Number of grid points per dimension (default: 128)
§Returns

KernelDensity2D with 2D density grid

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pub fn find_contour(&self, threshold: f64) -> Vec<(f64, f64)>

Find density contour at given threshold level

§Arguments
  • threshold - Density threshold (as fraction of max density)
§Returns

Vector of (x, y) coordinates forming the contour

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pub fn density_at(&self, x: f64, y: f64) -> f64

Get density value at a specific point (interpolated)

§Arguments
  • x - X coordinate
  • y - Y coordinate
§Returns

Interpolated density value

Trait Implementations§

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impl Debug for KernelDensity2D

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

Formats the value using the given formatter. Read more

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