Refactor load_contest_file.py to remove duplicate player entries in dataframes

- Updated the logic in load_contest_file to drop duplicate player entries for ownership, fantasy points, salary, team, and position dataframes. This change ensures data integrity and improves the accuracy of player attribute handling.

global_func/load_contest_file.py

@@ -90,17 +90,17 @@ def load_contest_file(upload, type, helper = None, sport = None):
             
             # Create separate dataframes for different player attributes
             if helper is not None:
-                ownership_df = df[['Player', 'Own']]
-                fpts_df = df[['Player', 'FPTS']]
-                salary_df = df_helper[['Player', 'Salary']]
-                team_df = df_helper[['Player', 'Team']]
-                pos_df = df[['Player', 'Pos']]
+                ownership_df = df[['Player', 'Own']].drop_duplicates(subset='Player', keep='first')
+                fpts_df = df[['Player', 'FPTS']].drop_duplicates(subset='Player', keep='first')
+                salary_df = df_helper[['Player', 'Salary']].drop_duplicates(subset='Player', keep='first')
+                team_df = df_helper[['Player', 'Team']].drop_duplicates(subset='Player', keep='first')
+                pos_df = df[['Player', 'Pos']].drop_duplicates(subset='Player', keep='first')
             else:
-                ownership_df = df[['Player', 'Own']]
-                fpts_df = df[['Player', 'FPTS']]
-                salary_df = df[['Player', 'Salary']]
-                team_df = df[['Player', 'Team']]
-                pos_df = df[['Player', 'Pos']]
+                ownership_df = df[['Player', 'Own']].drop_duplicates(subset='Player', keep='first')
+                fpts_df = df[['Player', 'FPTS']].drop_duplicates(subset='Player', keep='first')
+                salary_df = df[['Player', 'Salary']].drop_duplicates(subset='Player', keep='first')
+                team_df = df[['Player', 'Team']].drop_duplicates(subset='Player', keep='first')
+                pos_df = df[['Player', 'Pos']].drop_duplicates(subset='Player', keep='first')
 
             print('Made it through dictionaries')