codacy

nlmod/dims/resample.py

@@ -474,9 +474,9 @@ def structured_da_to_ds(da, ds, method="average", nodata=np.NaN):
         kwargs = {}
         if ds.gridtype == "structured":
             kwargs["fill_value"] = "extrapolate"
-        
+
         da_out = da.interp(x=ds.x, y=ds.y, method=method, kwargs=kwargs)
-        
+
         # some stuff is added by the interp function that should not be there
         added_coords = set(da_out.coords) - set(ds.coords)
         return da_out.drop_vars(added_coords)
@@ -532,16 +532,16 @@ def structured_da_to_ds(da, ds, method="average", nodata=np.NaN):
     # some stuff is added by the reproject_match function that should not be there
     added_coords = set(da_out.coords) - set(ds.coords)
     da_out = da_out.drop_vars(added_coords)
-    
+
     if "grid_mapping" in da_out.encoding:
         del da_out.encoding["grid_mapping"]
-    
+
     # remove the long_name, standard_name and units attributes of the x and y coordinates
-    for coord in ['x', 'y']:
-        for name in ['long_name', 'standard_name', 'units', 'axis']:
+    for coord in ["x", "y"]:
+        for name in ["long_name", "standard_name", "units", "axis"]:
             if name in da_out[coord].attrs.keys():
                 del da_out[coord].attrs[name]
-                
+
     return da_out