refactor: scaling factor tolerance adjustable, removed redundant vali…

…dation

powersimdata/design/clean_capacity_scaling.py

@@ -139,13 +139,17 @@ def output_capacities_table(self, base_grid=None):
             gen_capacity.loc[tar] = pd.Series(row_dict)
         return gen_capacity
 
-    def create_scale_factor_table(self, base_grid=None, gen_capacity=None):
+    def create_scale_factor_table(self, base_grid=None, gen_capacity=None,
+                                  tolerance=0.001):
         """
         Outputs a scaling factor table for targets and resource with
         respect to a base grid for creating a change table.
-        :param base_grid: reference grid to calculate change table scaling
-        :param gen_capacity: dataframe of next capacities
+        :param powersimdata.input.grid.Grid base_grid: reference grid to
+        calculate change table scaling
+        :param pandas.DataFrame gen_capacity: dataframe of next capacities
         factors
+        :param float tolerance: deviation from 1.0 to be included in change
+        table
         :return: (*dict*) -- nested dictionary of change table scaling values
         """
         if base_grid is None:
@@ -161,10 +165,6 @@ def create_scale_factor_table(self, base_grid=None, gen_capacity=None):
                 target_loadzones = grid_loadzones.intersection(
                         set(grid_info.area_to_loadzone(tar)))
                 for load_zone in target_loadzones:
-                    if load_zone not in base_grid.zone2id:
-                        print('No loadzone %s in grid!' % load_zone)
-                        continue
-
                     load_zone_cap = grid_info.get_capacity(res, load_zone)
                     if load_zone_cap == 0 and row[res] > 0:
                         warnings.warn('Attempting to scale target area {0} '
@@ -175,7 +175,7 @@ def create_scale_factor_table(self, base_grid=None, gen_capacity=None):
                               'and resource {1}'.format(load_zone, res))
                     else:
                         scale_factor = row[res] / base_target_resource_cap
-                        if abs(scale_factor - 1.0) > 0.001:
+                        if abs(scale_factor - 1.0) > tolerance:
                             scale_factor_table[res][load_zone] = scale_factor
         return scale_factor_table