EigenmodeSim.plot_convergences

EigenmodeSim.plot_convergences(convergence_t: DataFrame | None = None, convergence_f: DataFrame | None = None, fig: Figure | None = None, _display: bool = True)[source]

Creates 3 plots, useful to determin the convergence achieved by the renderer: * convergence frequency vs. pass number if fig is None. * delta frequency and solved elements vs. pass number. * delta frequency vs. solved elements.

Parameters:

  • convergence_t (pd.DataFrame) – Convergence vs pass number of the eigenemode freqs.

  • convergence_f (pd.DataFrame) – Convergence vs pass number of the eigenemode freqs.

  • fig (matplotlib.figure.Figure, optional) – A mpl figure. Defaults to None.

  • _display (bool, optional) – Display the plot? Defaults to True.