removed prints

global_func/exposure_spread.py

@@ -220,10 +220,6 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
     random.shuffle(random_row_indices_insert)
     random.shuffle(random_row_indices_replace)
 
-    print(player_exposure)
-    print(lineups_to_remove)
-    print(lineups_to_add)
-
     # for each row to the the number of lineups to remove, replace with random choice from comparable player list if they can be inserted
 
     # we will need to use two separate functions here, one for an exposure player who has a lineups to remove above 0 and one for below 0
@@ -267,8 +263,6 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
                 except:
                     comparable_player_list = []
 
-                print(comparable_player_list)
-                print("^^^^ comparable player list")
                 if comparable_player_list:
                     insert_player = random.choice(comparable_player_list)
                     # Find which column contains the exposure_player
@@ -279,7 +273,6 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
                         row_data = working_frame.iloc[row]
                         working_columns = working_frame.columns
                     
-                    print(working_columns)
                     for col in working_columns:
                         if row_data[col] == exposure_player:
                             # Get the replacement player's positions
@@ -329,10 +322,6 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
 
                 # Create a list of comparable players
                 comparable_player_list = comparable_players['player_names'].tolist()
-                print(comp_salary_low)
-                print(comp_salary_high)
-                print(comparable_player_list)
-                print("^^^^ comparable player list")
                 if comparable_player_list:
                     # Find which column contains the exposure_player
                     if specific_columns != []:

global_func/load_dk_fd_file.py

@@ -90,9 +90,6 @@ def load_dk_fd_file(lineups, csv_file, site_var, type_var, sport_var):
     # Now load and process the lineups file
     try:
         clean_name = re.sub(r' \(\d+\)', '', lineups.name)
-
-        print(clean_name)
-        print(lineups.name)
         
         if clean_name.endswith('.csv'):
             lineups_df = pd.read_csv(lineups)
@@ -101,8 +98,6 @@ def load_dk_fd_file(lineups, csv_file, site_var, type_var, sport_var):
         else:
             st.error('Please upload either a CSV or Excel file for lineups')
             return None, None
-        
-        print(lineups_df)
 
         try:
             lineups_df = lineups_df.drop(columns=['Entry ID', 'Contest Name', 'Contest ID', 'Entry Fee'])

global_func/load_file.py

@@ -87,9 +87,6 @@ def load_file(upload, site_var, type_var, sport_var, upload_type):
     if upload is not None:
         try:
             clean_name = re.sub(r' \(\d+\)', '', upload.name)
-
-            print(clean_name)
-            print(upload.name)
             
             if clean_name.endswith('.csv'):
                 df = pd.read_csv(upload)

global_func/load_ss_file.py

@@ -90,9 +90,6 @@ def load_ss_file(lineups, csv_file, site_var, type_var, sport_var):
     # Now load and process the lineups file
     try:
         clean_name = re.sub(r' \(\d+\)', '', lineups.name)
-
-        print(clean_name)
-        print(lineups.name)
         
         if clean_name.endswith('.csv'):
             lineups_df = pd.read_csv(lineups)