invert4geom.plot_inversion_iteration_results

plot_inversion_iteration_results(grids, grav_results, updated_results, parameters, iterations, style, topo_cmap_perc=1, misfit_cmap_perc=1, corrections_cmap_perc=1, constraints_df=None, constraint_size=1)

plot the starting misfit, updated topography, and correction grids for a specified number of the iterations of an inversion

Parameters:

• grids (tuple[list[xarray.DataArray], list[xarray.DataArray],) – list[xarray.DataArray]] lists of misfit, topography, and correction grids

• grav_results (pandas.DataFrame) – gravity dataframe resulting from the inversion

• updated_results (pandas.DataFrame) – updated topography or density values resulting from the inversion

• parameters (dict[str, Any]) – inversion parameters resulting from the inversion

• iterations (list[int]) – list of all the iteration numbers which occurred in the inversion

• style (str) – inversion style, either ‘geometry’ or ‘density’

• topo_cmap_perc (float, optional) – value to multiply the max and min colorscale values by, by default 1

• misfit_cmap_perc (float, optional) – value to multiply the max and min colorscale values by, by default 1

• corrections_cmap_perc (float, optional) – value to multiply the max and min colorscale values by, by default 1

• constraints_df (pandas.DataFrame, optional) – constraint points to include in the plots

• constraint_size (float, optional) – size for constraint points, by default 1

Return type:

None