Created area_per_dwelling_sqm from area_per_building_sqm column (Com, Ind)

GDE_TOOLS_read_SERA.py

@@ -89,6 +89,8 @@ def get_admin_level_definition(country_name, path, output_dfs=False, full_files=
                         elif complete_col_list_types[j]== 'float':
                             if col=='dwellings':
                                 aux_df[col]= aux_df['buildings'].values # one dwelling per building assumed when no dwellings column available (the assumption is consistent with the Com and Ind models, for Res the dwellings column exists)
+                            elif col=='area_per_dwelling_sqm':
+                                aux_df[col]= aux_df['area_per_building_sqm'].values # one dwelling per building assumed
                             else:
                                 aux_df[col]= np.zeros([aux_df.shape[0]])
                 out_dataframes[case]= aux_df
@@ -129,8 +131,8 @@ def get_complete_list_of_columns(full_files_flag):
     id_X and name_X are ommited, and so are longitude and latitude (we cannot "fill in" these data).
     """
     if full_files_flag:
-        out_list= ['settlement_type','occupancy_type','dwellings']
-        out_types= ['str','str','float']
+        out_list= ['settlement_type','occupancy_type','dwellings','area_per_dwelling_sqm']
+        out_types= ['str','str','float','float']
     else: # I expect this function to be irrelevant for the case of the OpenQuake CSV files
         out_list= []
         out_types= []