Update app.py

app.py

@@ -132,11 +132,11 @@ with tab1:
         if st.button("Load Seed Frame", key='seed_frame_load'):
             if site_var1 == 'Draftkings':
                 
-                working_seed = DK_seed
-                working_seed_parse = working_seed[np.isin(working_seed[:, 2], team_var2)]
-                working_seed_parse = working_seed[np.isin(working_seed[:, 3], stack_var2)]
-                data_export_display = pd.DataFrame(working_seed[0:1000], columns=column_names)
-                st.session_state.data_export_display = data_export_display.copy()
+                st.session_state.working_seed = DK_seed
+                st.session_state.working_seed_parse = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 2], team_var2)]
+                st.session_state.working_seed_parse = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 3], stack_var2)]
+                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
+                st.session_state.data_export_display = st.session_state.data_export_display.copy()
                 
                 # st.session_state.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
                 
@@ -149,11 +149,11 @@ with tab1:
                         
             elif site_var1 == 'Fanduel':
                 
-                working_seed = FD_seed
-                working_seed_parse = working_seed[np.isin(working_seed[:, 2], team_var2)]
-                working_seed_parse = working_seed[np.isin(working_seed[:, 3], stack_var2)]
-                data_export_display = pd.DataFrame(working_seed[0:1000], columns=column_names)
-                st.session_state.data_export_display = data_export_display.copy()
+                st.session_state.working_seed = FD_seed
+                st.session_state.working_seed_parse = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 2], team_var2)]
+                st.session_state.working_seed_parse = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 3], stack_var2)]
+                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
+                st.session_state.data_export_display = st.session_state.data_export_display.copy()
                 
                 # st.session_state.data_export_freq = calculate_value_frequencies(st.session_state.data_export)