Toolbar

This page documents the Toolbar class, which defines and manages all global user actions accessible via the top toolbar. These include launching a fit, toggling visual layers (residuals, confidence bands), and selecting fitting options such as method, smoothing, or weighting.

The toolbar is created once by MainWindow, and emits Qt signals when the user interacts with it.

Structure Diagram

graph TD MainWindow --> Toolbar Toolbar --> QActionResiduals[Residuals] Toolbar --> QActionConfidence[Confidence] Toolbar --> Smoothing Toolbar --> Weighting Toolbar --> a[X selection] Toolbar --> Compararison

Responsibilities

  • Provides buttons for toggling residuals, confidence bands, components
  • Includes menus for smoothing and weighting options
  • Connects to FitTab and PlotWidget to trigger visual updates
  • Adds or compares fit results across multiple runs

Actions and Menus

Action/Menu Type Icon Description
toggle_confidence QAction conf_1d.png Show 99% confidence band (1D fit)
toggle_residuals QAction resi.png Show residuals (data - fit)
toggle_components QAction decomp.png Show component contributions
toggle_conf_2d QAction conf_2d.png Show 2D confidence region (e.g. ellipse)
set_xmin_xmax Checkable text only Select X-range for fit
smoothing_menu QMenu Gaussian, Moving Average, None
weighting_menu QMenu x_err, y_err, xy_err, none
add_fit QAction none Add current fit to comparison list
toggle_comparison Checkable none Enable comparison mode

Signal Flow

All logic is internal to the toolbar and calls back into FitTab or PlotWidget.

self.toggle_residuals_action.triggered.connect(self.toggle_residuals)
self.smooth_gaussian_action.triggered.connect(lambda: self._apply_smoothing("savgol"))

Integration with FitTab

Called Method Purpose
tab.plot_widget.analysis_plot.toggle_residuals_plot() toggle residual display
tab.weight_data("x_err") apply weighting method
tab.smooth_data("avg") apply smoothing method
tab.comparison_manager.store_current_fit() save current result
  • toolbar.py: UI structure and action handling
  • toolbar_actions.py: (optional) separate logic if extracted
  • main_window.py: connects toolbar to current tab
  • plot_analysis.py: defines the toggleable plot elements