Enhance data handling in load_ss_file.py by replacing zeros with NaN and dropping rows with any NaN values. This improves data integrity for CSV and Excel file imports.

global_func/load_ss_file.py

@@ -21,12 +21,14 @@ def load_ss_file(lineups, csv_file):
         
         if clean_name.endswith('.csv'):
             lineups_df = pd.read_csv(lineups)
+            lineups_df = lineups_df.replace(0, np.nan)
         elif clean_name.endswith(('.xls', '.xlsx')):
             lineups_df = pd.read_excel(lineups)
+            lineups_df = lineups_df.replace(0, np.nan)
         else:
             st.error('Please upload either a CSV or Excel file for lineups')
             return None, None
-        
+        lineups_df = lineups_df.dropna(how='any')
         export_df = lineups_df.copy()
         
         # Map the IDs to names