Enhance player ROO data handling in app.py by implementing conditional column dropping based on slate type, ensuring accurate data processing for both Regular and Showdown formats, while maintaining fallback to original data in case of errors.

app.py

@@ -323,10 +323,16 @@ with tab2:
     if team_select2:
         player_roo_raw = player_roo_raw[player_roo_raw['Team'].isin(team_select2)]
     
-    try:
-        st.session_state['player_roo'] = player_roo_raw.drop(columns=['site', 'slate', 'version', 'timestamp'])
-    except:
-        st.session_state['player_roo'] = player_roo_raw
+    if slate_type_var2 == 'Regular':
+        try:
+            st.session_state['player_roo'] = player_roo_raw.drop(columns=['Site', 'Slate', 'pos_group', 'timestamp', 'player_ID'])
+        except:
+            st.session_state['player_roo'] = player_roo_raw
+    elif slate_type_var2 == 'Showdown':
+        try:
+            st.session_state['player_roo'] = player_roo_raw.drop(columns=['site', 'slate', 'version', 'timestamp'])
+        except:
+            st.session_state['player_roo'] = player_roo_raw
     if view_var == "Simple":
         try:
             st.session_state['player_roo'] = st.session_state['player_roo'][['Player', 'Position', 'Salary', 'Median', 'Ceiling', 'Own']]