kermitting soon

util/helper.py

@@ -945,13 +945,13 @@ def calculate_champion_loyalty(df):
                 }
             
             # Calculate games played for recent champions (only top 2)
-            print("START calculate games played for recent champions (only top 2)...\n")
+            #print("START calculate games played for recent champions (only top 2)...\n")
             # print("row['W_1'] type: ", type(row['W_1']), "\n row['W_1']: ", row['W_1'], "\n ") 
             # print("row['L_1'] type: ", type(row['L_1']), "\n row['L_1']: ", row['L_1'], "\n")
-            print(f"row['W_1'] value: {repr(row['W_1'])}, type: {type(row['W_1'])}")
-            print(f"row['L_1'] value: {repr(row['L_1'])}, type: {type(row['L_1'])}")
+            #print(f"row['W_1'] value: {repr(row['W_1'])}, type: {type(row['W_1'])}")
+            #print(f"row['L_1'] value: {repr(row['L_1'])}, type: {type(row['L_1'])}")
 
-            print(".... END calculate games played for recent champions (only top 2)\n \n \n")
+            #print(".... END calculate games played for recent champions (only top 2)\n \n \n")
 
             recent_games = [
                 (int(row['W_1']) + int(row['L_1'])) if pd.notna(row['most_champ_1']) else 0,
@@ -959,8 +959,9 @@ def calculate_champion_loyalty(df):
             ]
 
             print(f"recent_games was: {recent_games}, types: {[type(x) for x in recent_games]}")
+            print(f"season_games was: {season_games}, types: {[type(x) for x in season_games]}")
             
-            print("\n \n Summing recent games... \n")
+            print("\nSumming recent games... \n")
             total_recent_games = sum(recent_games)
             print("total_recent_games: ", total_recent_games, "\n")
             total_season_games = sum(season_games)