printing table of predict_dupes

global_func/predict_dupes.py

@@ -633,10 +633,12 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
     
     # Calculate similarity score based on actual player selection
     portfolio['Diversity'] = calculate_player_similarity_score_vectorized(portfolio, player_columns)
+
+    st.table(portfolio.head(10))
     
-    # portfolio = portfolio.drop(columns=dup_count_columns)
-    # portfolio = portfolio.drop(columns=own_columns)
-    # portfolio = portfolio.drop(columns=calc_columns)
+    portfolio = portfolio.drop(columns=dup_count_columns)
+    portfolio = portfolio.drop(columns=own_columns)
+    portfolio = portfolio.drop(columns=calc_columns)
     
     int16_columns_stacks = ['Dupes', 'Size', 'salary']
     int16_columns_nstacks = ['Dupes', 'salary']