supaernova.analysis.dispersion

source module supaernova.analysis.dispersion

Classes

• DispersionPlot — Create a new model by parsing and validating input data from keyword arguments.

• DispersionPlotter

source class DispersionPlot(**data: Any)

Bases : SpectraPlot

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Attributes

• model_extra : dict[str, Any] | None — Get extra fields set during validation.

• model_fields_set : set[str] — Returns the set of fields that have been explicitly set on this model instance.

source class DispersionPlotter()

Bases : Plotter

Methods

• plot_dispersion

source staticmethod DispersionPlotter.plot_dispersion(data: DataStepResult, hmcs: list[PosteriorStepResult], config: DispersionPlot, *, fig: Figure | None = None, ax: Axis | None = None, twins: pd.DataFrame | None = None, legacy: dict[str, np.ndarray] | None = None, force: bool = False) → None