Fixed bug in transform_dict_into_dataframe when sum in row is zero

GDE_TOOLS_read_SERA.py

@@ -775,9 +775,17 @@ def transform_dict_into_dataframe(dict_of_subclasses, bdg_classes):
                 collect_values[b,col]= dict_of_subclasses[bdgclass]['Proportions'][which[0]]
             elif len(which)>1:
                 print('ERROR!! SOMETHING WENT WRONG IN transform_dict_into_dataframe, length='+str(len(which)))
-    if np.any(np.logical_or(collect_values.sum(axis=1)>1.0001,collect_values.sum(axis=1)<0.9999)):
-        print('WARNING IN transform_dict_into_dataframe: THE SUM PER ROW IS NOT 1.0 IN AT LEAST ONE ROW!!!')
-        errors_found= True
+    sum_per_row = collect_values.sum(axis=1)
+    for row in range(0,collect_values.shape[0]):
+        # The row does not add up to 1 but it also does not add up to zero (measured as < 1E-5):
+        if np.logical_or(sum_per_row[row] > 1.0001, sum_per_row[row] < 0.9999) and (sum_per_row[row] < 1E-5):
+            print('WARNING IN transform_dict_into_dataframe: THE SUM PER ROW IS NOT 1.0 IN AT LEAST ONE ROW!!!')
+            errors_found= True
+        elif sum_per_row[row] < 1E-5:
+            # If the row sums up to zero (because there are zero buildings in these admin units), replace the
+            # zeroes with a uniform distribution:
+            collect_values[row, :] = (1.0/float(len(unique_involved_ids))) * np.ones([len(unique_involved_ids)])
+
     return bdg_classes, unique_involved_ids, collect_values, errors_found