fix: update plotting for optuna optimization results

src/invert4geom/optimization.py

@@ -1975,13 +1975,17 @@ def optimize_regional_filter(
     resulting_grav_df = best_trial.user_attrs.get("results")
 
     if plot is True:
-        if optimize_on_true_regional_misfit is True:
+        if study._is_multi_objective() is False:  # pylint: disable=protected-access
             optuna.visualization.plot_slice(study).show()
         else:
-            optuna.visualization.plot_pareto_front(
-                study,
-                target_names=["RMS of residual at constraints", "RMS of residual"],
-            ).show()
+            p = optuna.visualization.plot_pareto_front(study)
+            plotting.remove_df_from_hoverdata(p).show()
+            for i, j in enumerate(study.metric_names):
+                optuna.visualization.plot_slice(
+                    study,
+                    target=lambda t: t.values[i],  # noqa: B023 # pylint: disable=cell-var-from-loop
+                    target_name=j,
+                ).show()
         if plot_grid is True:
             resulting_grav_df.set_index(["northing", "easting"]).to_xarray().reg.plot()
 
@@ -2105,13 +2109,17 @@ def optimize_regional_trend(
     resulting_grav_df = best_trial.user_attrs.get("results")
 
     if plot is True:
-        if optimize_on_true_regional_misfit is True:
+        if study._is_multi_objective() is False:  # pylint: disable=protected-access
             optuna.visualization.plot_slice(study).show()
         else:
-            optuna.visualization.plot_pareto_front(
-                study,
-                target_names=["RMS of residual at constraints", "RMS of residual"],
-            ).show()
+            p = optuna.visualization.plot_pareto_front(study)
+            plotting.remove_df_from_hoverdata(p).show()
+            for i, j in enumerate(study.metric_names):
+                optuna.visualization.plot_slice(
+                    study,
+                    target=lambda t: t.values[i],  # noqa: B023 # pylint: disable=cell-var-from-loop
+                    target_name=j,
+                ).show()
         if plot_grid is True:
             resulting_grav_df.set_index(["northing", "easting"]).to_xarray().reg.plot()
 
@@ -2259,15 +2267,17 @@ def optimize_regional_eq_sources(
     resulting_grav_df = best_trial.user_attrs.get("results")
 
     if plot is True:
-        if optimize_on_true_regional_misfit is True:
+        if study._is_multi_objective() is False:  # pylint: disable=protected-access
             optuna.visualization.plot_slice(study).show()
         else:
-            optuna.visualization.plot_pareto_front(
-                study,
-                target_names=["RMS of residual at constraints", "RMS of residual"],
-            ).show()
-        optuna.visualization.plot_param_importances(study).show()
-
+            p = optuna.visualization.plot_pareto_front(study)
+            plotting.remove_df_from_hoverdata(p).show()
+            for i, j in enumerate(study.metric_names):
+                optuna.visualization.plot_slice(
+                    study,
+                    target=lambda t: t.values[i],  # noqa: B023 # pylint: disable=cell-var-from-loop
+                    target_name=j,
+                ).show()
         if plot_grid is True:
             resulting_grav_df.set_index(["northing", "easting"]).to_xarray().reg.plot()
 
@@ -2469,13 +2479,17 @@ def optimize_regional_constraint_point_minimization(
     resulting_grav_df = best_trial.user_attrs.get("results")
 
     if plot is True:
-        if optimize_on_true_regional_misfit is True:
+        if study._is_multi_objective() is False:  # pylint: disable=protected-access
             optuna.visualization.plot_slice(study).show()
         else:
-            optuna.visualization.plot_pareto_front(
-                study,
-                target_names=["RMS of residual at constraints", "RMS of residual"],
-            ).show()
+            p = optuna.visualization.plot_pareto_front(study)
+            plotting.remove_df_from_hoverdata(p).show()
+            for i, j in enumerate(study.metric_names):
+                optuna.visualization.plot_slice(
+                    study,
+                    target=lambda t: t.values[i],  # noqa: B023 # pylint: disable=cell-var-from-loop
+                    target_name=j,
+                ).show()
         if len(study.trials[0].params) > 1:
             optuna.visualization.plot_param_importances(study).show()
         if isinstance(testing_df, pd.DataFrame) & (plot_grid is True):
@@ -2560,13 +2574,11 @@ def optimize_regional_constraint_point_minimization_kfolds(
     )
 
     if plot is True:
-        if kwargs.get("optimize_on_true_regional_misfit") is True:
+        if study._is_multi_objective() is False:  # pylint: disable=protected-access
             optuna.visualization.plot_slice(study).show()
         else:
-            optuna.visualization.plot_pareto_front(
-                study,
-                target_names=["RMS of residual at constraints", "RMS of residual"],
-            ).show()
+            p = optuna.visualization.plot_pareto_front(study)
+            plotting.remove_df_from_hoverdata(p).show()
         if len(study.trials[0].params) > 1:
             optuna.visualization.plot_param_importances(study).show()
         if plot_grid is True: