Update app.py

app.py

@@ -119,6 +119,8 @@ def seasonlong_build(data_sample):
     season_long_table['fd_fantasy'] = data_sample.groupby(['Player', 'Team'], sort=False)['fd_fantasy'].transform('mean').astype(float)
     season_long_table = season_long_table.drop_duplicates(subset='Player')
     
+    season_long_table = season_long_table.sort_values(by='dk_fantasy', ascending=False)
+    
     
     season_long_table = season_long_table.set_axis(['Player', 'Team', 'Position', 'TOI', 'Goals', 'Total Assists', 'First Assists', 'Second Assists', 'Total Points',
                                                     'IPP', 'Shots', 'ixG', 'iCF', 'iFF', 'iSCF', 'iHDCF', 'Rush Attempts', 'Rebounds Created', 'PIM', 'Total Penalties',
@@ -299,7 +301,7 @@ with tab2:
     with col2:
         if split_var1_t2 == 'Specific Teams':
             display = st.container()
-            gamelog_table = gamelog_table.sort_values(by='Fantasy', ascending=False)
+            gamelog_table = gamelog_table.sort_values(by='dk_fantasy', ascending=False)
             gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date_t2]
             gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date_t2]
             gamelog_table = gamelog_table[gamelog_table['TOI'] >= min_var1_t2[0]]
@@ -313,7 +315,7 @@ with tab2:
             
         elif split_var1_t2 == 'Specific Players':
             display = st.container()
-            gamelog_table = gamelog_table.sort_values(by='Fantasy', ascending=False)
+            gamelog_table = gamelog_table.sort_values(by='dk_fantasy', ascending=False)
             gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date_t2]
             gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date_t2]
             gamelog_table = gamelog_table[gamelog_table['TOI'] >= min_var1_t2[0]]