Formatting

Author: ChrisFairless

climada/entity/exposures/base.py

@@ -403,14 +403,10 @@ def __init__(
 
         self.description = self._consolidate(meta, "description", description)
         self.ref_year = self._consolidate(meta, "ref_year", ref_year, DEF_REF_YEAR)
-        
+
         if geodata.shape[0] > 0:
-            value_unit = self._consolidate(
-                geodata.iloc[0], "value_unit", value_unit
-            )
-        self.value_unit = self._consolidate(
-            meta, "value_unit", value_unit, DEF_VALUE_UNIT
-        )
+            value_unit = self._consolidate(geodata.iloc[0], "value_unit", value_unit)
+        self.value_unit = self._consolidate(meta, "value_unit", value_unit, DEF_VALUE_UNIT)
 
         crs = self._consolidate(meta, "crs", crs, equals=u_coord.equal_crs)
 

climada/entity/exposures/test/test_base.py

@@ -431,7 +431,7 @@ def test_read_template_pass(self):
         exp_df.ref_year = 2020
         exp_df.value_unit = "PAK"
         exp_df.check()
-    
+
     def test_handling_unit_conflicts_pass(self):
         """Check that the value_unit is correctly set when there are conflicting value_unit definitions in the data frame and the meta attribute."""
         df = pd.read_excel(ENT_TEMPLATE_XLS)
@@ -445,13 +445,12 @@ def test_handling_unit_conflicts_pass(self):
         with self.assertRaises(ValueError) as cm:
             exp_df = Exposures(df, meta={"value_unit": "PAK"}, value_unit="PAK")
 
-
     def test_io_hdf5_pass(self):
         """write and read hdf5"""
         exp = Exposures(
             pd.read_excel(ENT_TEMPLATE_XLS),
             crs="epsg:32632",
-            ref_year = 2020,
+            ref_year = 2020
         )
 
         # add another geometry column