Restored filtering for players with zero minutes in player_stats and updated raw_baselines to include all relevant columns for analysis.

src/streamlit_app.py

@@ -100,14 +100,14 @@ def init_baselines():
     raw_display = pd.DataFrame(list(cursor))
     raw_display.replace('', np.nan, inplace=True)
     raw_display = raw_display.rename(columns={"Name": "Player"})
-    # raw_baselines = raw_display[['Player', 'Position', 'Team', 'Opp', 'Minutes', 'FGM', 'FGA', 'FG2M', 'FG2A', 'Threes', 'FG3A', 'FTM', 'FTA', 'TRB', 'AST', 'STL', 'BLK', 'TOV', 'PRA', 'PR', 'PA', 'RA']]
+    raw_baselines = raw_display[['Player', 'Position', 'Team', 'Opp', 'Minutes', 'FGM', 'FGA', 'FG2M', 'FG2A', 'Threes', 'FG3A', 'FTM', 'FTA', 'TRB', 'AST', 'STL', 'BLK', 'TOV', 'PRA', 'PR', 'PA', 'RA']]
     raw_baselines = raw_baselines[raw_baselines['Minutes'] > 0]
     raw_baselines['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy', 'Cameron Thomas'],
                                  ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.',
                                   'Trey Murphy III', 'Cam Thomas'], inplace=True)
     
     player_stats = raw_display[['Player', 'Position', 'Team', 'Opp', 'Minutes', '3P', 'Points', 'Rebounds', 'Assists', 'Steals', 'Blocks', 'Turnovers', 'Fantasy']]
-    # player_stats = player_stats[player_stats['Minutes'] > 0]
+    player_stats = player_stats[player_stats['Minutes'] > 0]
 
     player_stats['Player'].replace(['Jaren Jackson', 'Nic Claxton', 'Jabari Smith', 'Lu Dort', 'Moe Wagner', 'Kyle Kuzma', 'Trey Murphy', 'Cameron Thomas'],
                                  ['Jaren Jackson Jr.', 'Nicolas Claxton', 'Jabari Smith Jr.', 'Luguentz Dort', 'Moritz Wagner', 'Kyle Kuzma Jr.',