Update app.py

app.py

@@ -564,8 +564,8 @@ with tab5:
 
 with tab6:
     st.info(t_stamp)
+    st.info('This sheet is more or less a static represenation of the Stat Specific Simulations. ROR is rate of return based on hit rate and payout. Use the over and under EDGEs to place bets. 20%+ should be considered a 1 unit bet, 15-20% is .75 units, 10-15% is .50 units, 5-10% is .25 units, and 0-5% is .1 units.')
     if st.button("Reset Data", key='reset6'):
-            st.info('This sheet is more or less a static represenation of the Stat Specific Simulations. ROR is rate of return based on hit rate and payout. Use the over and under EDGEs to place bets. 20%+ should be considered a 1 unit bet, 15-20% is .75 units, 10-15% is .50 units, 5-10% is .25 units, and 0-5% is .1 units.')
             st.cache_data.clear()
             pitcher_stats, hitter_stats, team_frame, prop_frame, betsheet_frame, pick_frame, t_stamp = init_baselines()
     split_var6 = st.radio("Would you like to view all teams or specific ones?", ('All', 'Specific Teams'), key='split_var6')
@@ -576,7 +576,7 @@ with tab6:
     betsheet_disp = betsheet_frame.copy()
     betsheet_disp = betsheet_disp[betsheet_disp['Team'].isin(team_var6)]
     betsheet_disp = betsheet_disp.sort_values(by='over_EDGE', ascending=False)
-    st.dataframe(betsheet_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+    st.dataframe(betsheet_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=750, use_container_width = True)
     st.download_button(
         label="Export Betsheet",
         data=convert_df_to_csv(betsheet_disp),