Expand description
Interpolation module
This module provides implementations of various interpolation methods. These methods are used to estimate values at arbitrary points based on a set of known data points.
§Overview
- 1D interpolation methods (
interp1d
module)- Linear, nearest, cubic interpolation
- PCHIP (Piecewise Cubic Hermite Interpolating Polynomial) - shape-preserving interpolation
- Spline interpolation (
spline
module) - Bivariate splines (
bivariate
module):BivariateSpline
- Base class for bivariate splinesSmoothBivariateSpline
- Smooth bivariate spline approximationRectBivariateSpline
- Bivariate spline approximation over a rectangular mesh
- Multivariate interpolation (
interpnd
module) - Advanced interpolation methods (
advanced
module):- Akima spline interpolation - robust to outliers
- Radial Basis Function (RBF) interpolation - for scattered data
- Kriging (Gaussian process regression) - with uncertainty quantification
- Barycentric interpolation - stable polynomial interpolation
- Grid transformation and resampling (
grid
module):- Resample scattered data onto regular grids
- Convert between grids of different resolutions
- Map grid data to arbitrary points
- Tensor product interpolation (
tensor
module):- Efficient high-dimensional interpolation on structured grids
- Higher-order interpolation using Lagrange polynomials
- Utility functions (
utils
module):- Error estimation with cross-validation
- Parameter optimization
- Differentiation and integration of interpolated functions
Re-exports§
pub use error::InterpolateError;
pub use error::InterpolateResult;
pub use advanced::akima::make_akima_spline;
pub use advanced::akima::AkimaSpline;
pub use advanced::barycentric::make_barycentric_interpolator;
pub use advanced::barycentric::BarycentricInterpolator;
pub use advanced::barycentric::BarycentricTriangulation;
pub use advanced::kriging::make_kriging_interpolator;
pub use advanced::kriging::CovarianceFunction;
pub use advanced::kriging::KrigingInterpolator;
pub use advanced::rbf::RBFInterpolator;
pub use advanced::rbf::RBFKernel;
pub use bivariate::BivariateInterpolator;
pub use bivariate::BivariateSpline;
pub use bivariate::RectBivariateSpline;
pub use bivariate::SmoothBivariateSpline;
pub use bivariate::SmoothBivariateSplineBuilder;
pub use grid::create_regular_grid;
pub use grid::map_grid_to_points;
pub use grid::resample_grid_to_grid;
pub use grid::resample_to_grid;
pub use grid::GridTransformMethod;
pub use interp1d::cubic_interpolate;
pub use interp1d::linear_interpolate;
pub use interp1d::nearest_interpolate;
pub use interp1d::pchip_interpolate;
pub use interp1d::Interp1d;
pub use interp1d::InterpolationMethod;
pub use interp1d::PchipInterpolator;
pub use interpnd::make_interp_nd;
pub use interpnd::make_interp_scattered;
pub use interpnd::map_coordinates;
pub use interpnd::ExtrapolateMode;
pub use interpnd::GridType;
pub use interpnd::RegularGridInterpolator;
pub use interpnd::ScatteredInterpolator;
pub use spline::make_interp_spline;
pub use spline::CubicSpline;
pub use tensor::lagrange_tensor_interpolate;
pub use tensor::tensor_product_interpolate;
pub use tensor::LagrangeTensorInterpolator;
pub use tensor::TensorProductInterpolator;
Modules§
- advanced
- Advanced interpolation methods
- bivariate
- Bivariate interpolation modules
- error
- Error types for the SciRS2 interpolation module
- grid
- Grid transformation and resampling utilities
- interp1d
- One-dimensional interpolation methods
- interpnd
- N-dimensional interpolation methods
- spline
- Spline interpolation methods
- tensor
- Tensor product interpolation
- utils
- Utility functions for interpolation