Update app.py

app.py

@@ -175,6 +175,9 @@ with tab2:
 
         if site_var1 == 'Draftkings':
             raw_baselines = dk_raw
+            st.cache_data.clear()
+            for key in st.session_state.keys():
+                del st.session_state[key]
             column_names = dk_columns
             
             player_var1 = st.radio("Do you want a frame with specific Players?", ('Full Slate', 'Specific Players'), key='player_var1')
@@ -185,6 +188,9 @@ with tab2:
                     
         elif site_var1 == 'Fanduel':
             raw_baselines = fd_raw
+            st.cache_data.clear()
+            for key in st.session_state.keys():
+                del st.session_state[key]
             column_names = fd_columns
             
             player_var1 = st.radio("Do you want a frame with specific Players?", ('Full Slate', 'Specific Players'), key='player_var1')
@@ -346,19 +352,7 @@ with tab1:
                 #st.table(Sim_Winner_Frame)
                             
                 # Initial setup
-                # Check the shape of the concatenated data
-                concatenated_data = np.concatenate(Sim_Winners)
-                num_columns = concatenated_data.shape[1]
-                
-                # Adjust column names based on the actual number of columns
-                if num_columns == len(column_names) + 1:
-                    Sim_Winner_Frame = pd.DataFrame(concatenated_data, columns=column_names + ['Fantasy'])
-                elif num_columns == len(column_names):
-                    Sim_Winner_Frame = pd.DataFrame(concatenated_data, columns=column_names)
-                    st.warning("'Fantasy' column is missing from the simulation results.")
-                else:
-                    st.error(f"Mismatch in number of columns. Expected {len(column_names)} or {len(column_names) + 1}, but got {num_columns}.")
-                    Sim_Winner_Frame = pd.DataFrame(concatenated_data)  # Create DataFrame without column names
+                Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=column_names + ['Fantasy'])
                 Sim_Winner_Frame['GPP_Proj'] = (Sim_Winner_Frame['proj'] + Sim_Winner_Frame['Fantasy']) / 2
                 Sim_Winner_Frame['unique_id'] = Sim_Winner_Frame['proj'].astype(str) + Sim_Winner_Frame['salary'].astype(str) + Sim_Winner_Frame['Team'].astype(str) + Sim_Winner_Frame['Secondary'].astype(str)
                 Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))