Enhance app.py to support NBA and NFL player projections with distinct formatting. Introduced nba_player_roo_format and nfl_player_roo_format for improved data display based on sport selection. Updated dataframe rendering logic to conditionally format projections based on the selected sport, ensuring a more tailored user experience.

app.py

@@ -28,9 +28,12 @@ game_format = {'Win Percentage': '{:.2%}','First Inning Lead Percentage': '{:.2%
 team_roo_format = {'Top Score%': '{:.2%}','0 Runs': '{:.2%}', '1 Run': '{:.2%}', '2 Runs': '{:.2%}', '3 Runs': '{:.2%}', '4 Runs': '{:.2%}',
                    '5 Runs': '{:.2%}','6 Runs': '{:.2%}', '7 Runs': '{:.2%}', '8 Runs': '{:.2%}', '9 Runs': '{:.2%}', '10 Runs': '{:.2%}'}
 
-player_roo_format = {'Top_finish': '{:.2%}','Top_5_finish': '{:.2%}', 'Top_10_finish': '{:.2%}', '20+%': '{:.2%}', '2x%': '{:.2%}', '3x%': '{:.2%}',
+nfl_player_roo_format = {'Top_finish': '{:.2%}','Top_5_finish': '{:.2%}', 'Top_10_finish': '{:.2%}', '20+%': '{:.2%}', '2x%': '{:.2%}', '3x%': '{:.2%}',
                    '4x%': '{:.2%}','GPP%': '{:.2%}'}
 
+nba_player_roo_format = {'Top_finish': '{:.2%}','Top_5_finish': '{:.2%}', 'Top_10_finish': '{:.2%}', '20+%': '{:.2%}', '4x%': '{:.2%}', '5x%': '{:.2%}',
+                   '6x%': '{:.2%}','GPP%': '{:.2%}'}
+
 expose_format = {'Proj Own': '{:.2%}','Exposure': '{:.2%}'}
 
 all_dk_player_projections = st.secrets["NFL_data"]
@@ -137,7 +140,10 @@ with tab1:
         with hold_container:
             hold_container = st.empty()
             display_Proj = display_Proj
-            st.dataframe(display_Proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=1000, use_container_width = True)
+            if sport_var2 == 'NBA':
+                st.dataframe(display_Proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(nba_player_roo_format, precision=2), height=1000, use_container_width = True)
+            elif sport_var2 == 'NFL':
+                st.dataframe(display_Proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(nfl_player_roo_format, precision=2), height=1000, use_container_width = True)
   
         st.download_button(
                 label="Export Tables",
@@ -245,7 +251,7 @@ with tab2:
             cpt_proj['Team'] = display_baselines['Team']
             cpt_proj['Opp'] = display_baselines['Opp']
             cpt_proj['Median'] = display_baselines['Median'] * 1.5
-            cpt_proj['Own'] = display_baselines['CPT Own']
+            cpt_proj['Own'] = display_baselines['CPT_Own']
             cpt_proj['lock'] = display_baselines['cpt_lock']
             cpt_proj['roster'] = 'CPT'
             if len(lock_var1) > 0: