Update app.py

app.py

@@ -39,14 +39,14 @@ def init_conn():
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL']]
         FD_seed = raw_display.to_numpy()
+        
+        MLB_Data = 'https://docs.google.com/spreadsheets/d/1f42Ergav8K1VsOLOK9MUn7DM_MLMvv4GR2Fy7EfnZTc/edit#gid=340831852'
 
         gc_con = gspread.service_account_from_dict(credentials, scope)
       
-        return gc_con, client, db, DK_seed, FD_seed
-
-gcservice_account, client, db, DK_seed, FD_seedb = init_conn()
+        return gc_con, client, db, DK_seed, FD_seed, MLB_Data
 
-MLB_Data = 'https://docs.google.com/spreadsheets/d/1f42Ergav8K1VsOLOK9MUn7DM_MLMvv4GR2Fy7EfnZTc/edit#gid=340831852'
+gcservice_account, client, db, DK_seed, FD_seed, MLB_Data = init_conn()
 
 percentages_format = {'Exposure': '{:.2%}'}
 dk_columns = [['salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
@@ -133,12 +133,12 @@ with tab1:
             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)]
+                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.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
+                # st.session_state.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
                 
                 with st.container():
                     if 'data_export_display' in st.session_state:
@@ -150,12 +150,12 @@ 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)]
+                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.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
+                # st.session_state.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
                 
                 with st.container():
                     if 'data_export_display' in st.session_state: