Struct FitWidget 

pub struct FitWidget { /* private fields */ }

A window widget to perform curve fitting on 1D data and display the result.

Implementations

impl FitWidget

pub fn new(render_state: &RenderState, plot_id: PlotId) -> Self

Create a new FitWidget with a backing Plot1D.

pub fn set_fit_range(&mut self, range: Option<(f64, f64)>)

Set the fit range [xmin, xmax]; only points inside it are fitted (silx FitWidget xmin/xmax). Pass None to fit the whole curve.

pub fn selected_choice(&self) -> FitModelChoice

The currently selected fit model choice.

pub fn set_selected_choice(&mut self, choice: FitModelChoice)

Set the selected fit model choice.

pub fn fit_background(&self) -> Background

The background theory subtracted before an iterative peak fit (silx FitWidget background combo).

pub fn set_fit_background(&mut self, background: Background)

Set the background theory subtracted before an iterative peak fit. The analytical Linear / Gaussian-estimate choices ignore it; iterative peak models fit the background-subtracted residual and display the reconstructed total curve.

pub fn param_constraints(&self) -> &[Constraint]

The per-parameter constraints applied to the current single-peak model (silx FitWidget parameter table). Empty until first synced.

pub fn set_param_constraints(&mut self, constraints: Vec<Constraint>)

Set the per-parameter constraints for the current single-peak model. The vector is resynced to all-Free if its length stops matching the selected model’s parameter count.

pub fn initial_params(&self) -> Option<&[f64]>

The editable initial parameters for the current single-peak model, once a fit has populated them (silx FitWidget parameter table value column).

pub fn set_initial_params(&mut self, params: Option<Vec<f64>>)

Set the initial parameters the next single-peak fit starts from. Dropped if the length stops matching the selected model’s parameter count.

pub fn iterative_result(&self) -> Option<&IterativeFitResult>

The most recent iterative-fit result (covariance / chi-square), if the last successful fit used an iterative peak model.

pub fn is_open(&self) -> bool

Is the window currently open?

pub fn set_open(&mut self, open: bool)

Open or close the window.

pub fn set_data(&mut self, x: &[f64], y: &[f64])

Set the data to fit.

pub fn perform_fit_choice(&mut self)

Perform the fit using the currently selected FitModelChoice.

Iterative peak models are refined with Levenberg-Marquardt and populate the results table (per-parameter error + reduced chi-square); the analytical Linear / Gaussian-estimate choices keep their original behaviour. Honors the configured fit range.

pub fn perform_fit(&mut self)

Perform the fit using the currently selected function.

pub fn show(&mut self, ctx: &Context)

Show the fit widget using the given egui context.