mantidimaging.gui.widgets.spectrum_widgets.fitting_display_widget module

class mantidimaging.gui.widgets.spectrum_widgets.fitting_display_widget.FittingDisplayWidget(parent: QWidget | None = None)

Bases: QWidget

Widget for displaying fitting-related spectrum plot using the reusable SpectrumPlotWidget.

get_selected_fit_region() → FittingRegion

initial_fit_line: PlotDataItem | None = None

is_initial_fit_visible() → bool

set_default_region(x_data: ndarray, y_data: ndarray) → None

Position the ROI centrally over the plotted data, if valid data.

set_plot_mode(mode: str) → None

set_selected_fit_region(region: tuple[float, float]) → None

Set the horizontal (X-axis) range of the ROI.

show_fit_line(x_data: ndarray, y_data: ndarray, *, color: tuple[int, int, int], label: str, initial: bool) → None

Plot a single fit line (initial or fitted) on the spectrum plot, removing any previous fit line.

Args:

x_data: The x-axis data for the fit line. y_data: The y-axis data for the fit line. color: The RGB color tuple for the line. label: The legend label for the line. initial: True if this is the initial fit, False if fitted curve.

show_roi_on_thumbnail_from_widget(roi_widget: SpectrumROI) → None

Copy ROI size and color from the main image window ROI to the thumbnail overlay.

unit_changed

pyqtSignal(*types, name: str = …, revision: int = …, arguments: Sequence = …) -> PYQT_SIGNAL

types is normally a sequence of individual types. Each type is either a type object or a string that is the name of a C++ type. Alternatively each type could itself be a sequence of types each describing a different overloaded signal. name is the optional C++ name of the signal. If it is not specified then the name of the class attribute that is bound to the signal is used. revision is the optional revision of the signal that is exported to QML. If it is not specified then 0 is used. arguments is the optional sequence of the names of the signal’s arguments.

update_image(image: ndarray | None) → None

update_labels(value_range: tuple[float, float] | None, unit_label: str) → None

Update the unit range label below the plot, if available.

update_plot(x_data: ndarray, y_data: ndarray, label: str = 'ROI') → None