Refactor ownership value calculation in calculate_weighted_ownership_single_row to use pd.to_numeric for better handling of non-numeric values, improving robustness in edge reassessment logic.

global_func/reassess_edge.py

@@ -19,8 +19,9 @@ def calculate_weighted_ownership_single_row(row_ownerships):
     Returns:
         float: Calculated weighted ownership value
     """
-    # Convert to numpy array and handle NaN values
-    ownership_values = np.where(np.isnan(row_ownerships.values), 0, row_ownerships.values) / 100
+
+    ownership_values = pd.to_numeric(row_ownerships.values, errors='coerce')
+    ownership_values = np.where(np.isnan(ownership_values), 0, ownership_values) / 100
     
     # Calculate mean
     row_mean = np.mean(ownership_values)