Update app.py

app.py

@@ -172,6 +172,11 @@ def convert_df_to_csv(df):
 
 gamelog_table = init_baselines()
 data_cols = gamelog_table.columns.drop(['Player', 'Team', 'Position', 'Date', 'TOI'])
+season_data_cols = ['TOI', 'Goals', 'Total Assists', 'First Assists', 'Second Assists', 'Total Points',
+                    'IPP', 'Shots', 'ixG', 'iCF', 'iFF', 'iSCF', 'iHDCF', 'Rush Attempts', 'Rebounds Created', 'PIM', 'Total Penalties',
+                    'Minor', 'Major', 'Penalties Drawn', 'Giveaways', 'Takeaways', 'Hits', 'Hits Taken', 'Shots Blocked', 'Faceoffs Won',
+                    'Faceoffs Lost', 'dk_shots_bonus', 'dk_blocks_bonus', 'dk_goals_bonus', 'dk_points_bonus',
+                    'dk_fantasy', 'fd_fantasy']
 indv_teams = gamelog_table.drop_duplicates(subset='Team')
 total_teams = indv_teams.Team.values.tolist()
 indv_players = gamelog_table.drop_duplicates(subset='Player')
@@ -226,7 +231,7 @@ with tab1:
     with col2:
         if split_var1 == 'Season Logs':
             choose_cols = st.container()
-            choose_cols.multiselect('Which stats would you like to view?', options = data_cols, default = data_cols, key='col_display')
+            choose_cols.multiselect('Which stats would you like to view?', options = season_data_cols, default = season_data_cols, key='col_display')
             display = st.container()
             gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date]
             gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date]