Update app.py

app.py

@@ -252,7 +252,7 @@ def create_random_portfolio(Total_Sample_Size, raw_baselines, field_growth):
                 # Generate random portfolios
                 rng = np.random.default_rng()
                 total_elements = [2, 3, 2, 1, 1]
-                keys = ['c', 'w', 'd', 'g', 'util']
+                keys = ['c', 'w', 'd', 'util', 'g']
                 
                 all_choices = [rng.choice(ranges_dict[f"{key}_range"], size=(Total_Sample_Size, elem)) for key, elem in zip(keys, total_elements)]
                 RandomPortfolio = pd.DataFrame(np.hstack(all_choices), columns=['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'G', 'UTIL'])
@@ -1367,9 +1367,9 @@ with tab2:
                 )
         
         with st.container():
-            tab1 = st.tabs(['Overall Exposures'])
+            # tab1 = st.tabs(['Overall Exposures'])
             # tab1, tab2, tab3, tab4, tab5, tab6, tab7 = st.tabs(['Overall Exposures', 'QB Exposures', 'RB Exposures', 'WR Exposures', 'TE Exposures', 'FLEX Exposures', 'DST Exposures'])
-            with tab1:
+            # with tab1:
                 if 'player_freq' in st.session_state:
                     st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
                     st.download_button(
@@ -1442,4 +1442,4 @@ del insert_port1, Contest_Size, sharp_split, Strength_var, scaling_var, Sort_fun
 del raw_baselines
 del freq_format
 
-gc.collect()
+gc.collect()