Remove type conversion for 'Own' column in predict_dupes function and add debug print statement to display the first 10 rows of the working frame, aiding in data verification.

app.py

@@ -953,10 +953,11 @@ with tab2:
                             sum(st.session_state['map_dict']['own_map'].get(player, 0) for player in row.iloc[1:]),
                     axis=1
                 )
-            st.session_state['working_frame']['Own'] = st.session_state['working_frame']['Own'].astype('float32')
+            # st.session_state['working_frame']['Own'] = st.session_state['working_frame']['Own'].astype('float32')
             st.session_state['working_frame']['median'] = st.session_state['working_frame']['median'].astype('float32')
             st.session_state['working_frame']['salary'] = st.session_state['working_frame']['salary'].astype('uint16')
             
+            print(st.session_state['working_frame'].head(10))
             st.session_state['base_frame'] = predict_dupes(st.session_state['working_frame'], st.session_state['map_dict'], site_var, type_var, Contest_Size, strength_var, sport_var)
             st.session_state['working_frame'] = st.session_state['base_frame'].copy()
             # st.session_state['highest_owned_teams'] = st.session_state['projections_df'][~st.session_state['projections_df']['position'].isin(['P', 'SP'])].groupby('team')['ownership'].sum().sort_values(ascending=False).head(3).index.tolist()