Update app.py

app.py

@@ -39,8 +39,9 @@ gc2 = gspread.service_account_from_dict(credentials2)
 
 st.set_page_config(layout="wide")
 
-game_format = {'Win Percentage': '{:.2%}','First Inning Lead Percentage': '{:.2%}',
-              'Fifth Inning Lead Percentage': '{:.2%}', '8+ runs': '{:.2%}', 'DK LevX': '{:.2%}', 'FD LevX': '{:.2%}'}
+game_format = {'K_rate': '{:.2%}', 'Walk_rate': '{:.2%}', 'xBA_avg': '{:.2%}', 'xSLG_avg': '{:.2%}', 'xwOBA_avg': '{:.2%}', 'Hits_boost': '{:.2%}',
+              'Singles_boost': '{:.2%}', 'Doubles_boost': '{:.2%}', 'Homeruns_boost': '{:.2%}', 'K_rate_boost': '{:.2%}', 'Walk_rate_boost': '{:.2%}',
+              'xBA_avg_boost': '{:.2%}', 'xSLG_avg_boost': '{:.2%}', 'xwOBA_avg_boost': '{:.2%}'}
 
 mlb_model_link = 'https://docs.google.com/spreadsheets/d/1f42Ergav8K1VsOLOK9MUn7DM_MLMvv4GR2Fy7EfnZTc/edit#gid=1769627309'
 
@@ -52,7 +53,8 @@ def load_init():
         sh = gc2.open_by_url(mlb_model_link)
     worksheet = sh.worksheet('Ballpark_stats')
     raw_display = pd.DataFrame(worksheet.get_all_records())
-    overall_stats = raw_display.copy()
+    overall_stats = raw_display[['Stadium', 'Split', 'PA', 'Hits', 'Singles', 'Doubles', 'Homeruns', 'K_rate', 'Walk_rate', 'xBA_avg', 'xSLG_avg', 'xwOBA_avg', 'Hits_boost',
+                                 'Singles_boost', 'Doubles_boost', 'Homeruns_boost', 'K_rate_boost', 'Walk_rate_boost', 'xBA_avg_boost', 'xSLG_avg_boost', 'xwOBA_avg_boost']]
     raw_numbers = raw_display[['Stadium', 'Split', 'PA', 'Hits', 'Singles', 'Doubles', 'Homeruns', 'K_rate', 'Walk_rate', 'xBA_avg', 'xSLG_avg', 'xwOBA_avg']]
     pa_numbers = raw_display[['Stadium', 'Split', 'PA', 'Hits/PA', 'Singles/PA', 'Doubles/PA', 'Homeruns/PA', 'K_rate', 'Walk_rate', 'xBA_avg', 'xSLG_avg', 'xwOBA_avg']]
     boosts = raw_display[['Stadium', 'Split', 'PA', 'Hits_boost', 'Singles_boost', 'Doubles_boost', 'Homeruns_boost', 'K_rate_boost', 'Walk_rate_boost', 'xBA_avg_boost', 'xSLG_avg_boost', 'xwOBA_avg_boost']]
@@ -107,7 +109,7 @@ with hold_container:
         elif split_var1 == 'RHH':
             final_Proj = final_Proj[final_Proj['Split'] == 'RHH']
         final_Proj = final_Proj.sort_values(by='xwOBA_avg_boost', ascending=False)
-    st.dataframe(final_Proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=1000, use_container_width = True)
+    st.dataframe(final_Proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(game_format, precision=2), height=1000, use_container_width = True)
 
 st.download_button(
         label="Export Tables",