Update app.py

app.py

@@ -141,6 +141,8 @@ def convert_df_to_csv(df):
 gamelog_table = init_baselines()
 indv_teams = gamelog_table.drop_duplicates(subset='Team')
 total_teams = indv_teams.Team.values.tolist()
+indv_players = gamelog_table.drop_duplicates(subset='Player')
+total_players = indv_players.Player.values.tolist()
 total_dates = gamelog_table.Date.values.tolist()
 
 col1, col2 = st.columns([1, 9])
@@ -150,6 +152,8 @@ with col1:
               gamelog_table = init_baselines()
               indv_teams = gamelog_table.drop_duplicates(subset='Team')
               total_teams = indv_teams.Team.values.tolist()
+              indv_players = gamelog_table.drop_duplicates(subset='Player')
+              total_players = indv_players.Player.values.tolist()
               total_dates = gamelog_table.Date.values.tolist()
     
     split_var1 = st.radio("What table would you like to view?", ('Season Logs', 'Gamelogs'), key='split_var1')
@@ -160,7 +164,7 @@ with col1:
     elif split_var2 == 'All':
         team_var1 = total_teams
         
-    split_var3 = st.radio("Would you like to view all teams or specific ones?", ('All', 'Specific Dates'), key='split_var3')
+    split_var3 = st.radio("Would you like to view all dates or specific ones?", ('All', 'Specific Dates'), key='split_var3')
     
     if split_var3 == 'Specific Dates':
         low_date = st.date_input('Min Date:', value=None, format="YYYY-MM-DD", key='low_date')
@@ -173,14 +177,24 @@ with col1:
         low_date = gamelog_table['Date'].min()
         high_date = gamelog_table['Date'].max()
     
+    split_var4 = st.radio("Would you like to view all players or specific ones?", ('All', 'Specific Players'), key='split_var4')
+    
+    if split_var4 == 'Specific Players':
+        player_var1 = st.multiselect('Which players would you like to include in the tables?', options = total_players, key='player_var1')
+    elif split_var4 == 'All':
+        player_var1 = total_players
+    
     min_var1 = st.slider("Is there a certain minutes range you want to view?", 0, 60, (0, 60), key='min_var1')
 
 with col2:
     if split_var1 == 'Season Logs':
         display = st.container()
+        gamelog_table = gamelog_table[gamelog_table['Date'] >= low_date]
+        gamelog_table = gamelog_table[gamelog_table['Date'] <= high_date]
         gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var1[0]]
         gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var1[1]]
         gamelog_table = gamelog_table[gamelog_table['Team'].isin(team_var1)]
+        gamelog_table = gamelog_table[gamelog_table['Player'].isin(player_var1)]
         season_long_table = seasonlong_build(gamelog_table)
         season_long_table = season_long_table.set_index('Player')
         display.dataframe(season_long_table.style.format(precision=2), use_container_width = True)  
@@ -191,6 +205,7 @@ with col2:
         gamelog_table = gamelog_table[gamelog_table['Min'] >= min_var1[0]]
         gamelog_table = gamelog_table[gamelog_table['Min'] <= min_var1[1]]
         gamelog_table = gamelog_table[gamelog_table['Team'].isin(team_var1)]
+        gamelog_table = gamelog_table[gamelog_table['Player'].isin(player_var1)]
         gamelog_table = gamelog_table.reset_index(drop=True)
         display = st.container()