Remove plot_impf_set function and improve exception type

Author: peanutfun

climada/util/calibrate/base.py

@@ -89,12 +89,12 @@ def __post_init__(self, assign_centroids):
         """Prepare input data"""
         if not isinstance(self.data, pd.DataFrame):
             if isinstance(self.data, pd.Series):
-                raise ValueError(
+                raise TypeError(
                     "You passed a pandas Series as 'data'. Please transform it into a "
                     "dataframe with Series.to_frame() and make sure that columns "
                     "correctly indicate locations and indexes events."
                 )
-            raise ValueError("'data' must be a pandas.DataFrame")
+            raise TypeError("'data' must be a pandas.DataFrame")
 
         if assign_centroids:
             self.exposure.assign_centroids(self.hazard)
@@ -201,22 +201,6 @@ def __post_init__(self):
         ).impact(assign_centroids=True, save_mat=True)
         self._impact_label = f"Impact [{self.input.exposure.value_unit}]"
 
-    def plot_impf_set(self, **plot_kwargs):
-        """Plot the optimized impact functions
-
-        This calls the plot function of the respective impact function set.
-
-        Parameters
-        ----------
-        plot_kwargs
-            Plotting keyword arguments passed to the underlying plotting method.
-
-        See Also
-        --------
-        :py:meth:`~climada.entity.impact_funcs.impact_func_set.ImpactFuncSet.plot`
-        """
-        return self.impf_set.plot(**plot_kwargs)
-
     def plot_impf_variability(
         self,
         cost_func_diff: float = 0.1,

doc/tutorial/climada_util_calibrate.ipynb

@@ -2622,7 +2622,7 @@
     "from climada.util.calibrate import OutputEvaluator\n",
     "\n",
     "output_eval = OutputEvaluator(input, bayes_output)\n",
-    "output_eval.plot_impf_set()\n"
+    "output_eval.impf_set.plot()\n"
    ]
   },
   {
@@ -3381,7 +3381,7 @@
     "\n",
     "    # Evaluate output\n",
     "    output_eval = OutputEvaluator(input, bayes_output)\n",
-    "    output_eval.plot_impf_set()\n",
+    "    output_eval.impf_set.plot()\n",
     "\n",
     "    plt.figure()  # New figure because seaborn.heatmap draws into active axes\n",
     "    output_eval.plot_event_region_heatmap(\n",