Update functions/pitch_summary_functions.py

functions/pitch_summary_functions.py

@@ -1078,6 +1078,12 @@ def stat_summary_table(df: pl.DataFrame,
                    'S':'Spring',
                    'P':'Playoffs' }
 
+    split_title = {
+        'All':''
+        'RHH':' vs RHH'
+        'LHH':' vs LHH'
+    }
+
     
     # Format start and end dates
     start_date_format = str(pd.to_datetime(df['game_date'][0]).strftime('%m/%d/%Y'))
@@ -1112,11 +1118,11 @@ def stat_summary_table(df: pl.DataFrame,
     if df['game_id'][0] == df['game_id'][-1]:
         pitcher_stats_call_df_small = pitcher_stats_call_df.select(['inningsPitched', 'battersFaced', 'earnedRuns', 'hits', 'strikeOuts', 'baseOnBalls', 'hitByPitch', 'homeRuns', 'strikePercentage', 'whiffs'])
         new_column_names = ['$\\bf{IP}$', '$\\bf{PA}$', '$\\bf{ER}$', '$\\bf{H}$', '$\\bf{K}$', '$\\bf{BB}$', '$\\bf{HBP}$', '$\\bf{HR}$', '$\\bf{Strike\%}$', '$\\bf{Whiffs}$']
-        title = f'{df["game_date"][0]} vs {df["batter_team"][0]} ({type_dict[game_type[0]]})'
+        title = f'{df["game_date"][0]} vs {df["batter_team"][0]} ({type_dict[game_type[0]]}){split_title[split]}'
     elif sport_id != 1 or game_type[0] in ['S','P']:
         pitcher_stats_call_df_small = pitcher_stats_call_df.select(['inningsPitched', 'battersFaced', 'whip', 'era', 'fip', 'k_percent', 'bb_percent', 'k_bb_percent', 'strikePercentage'])
         new_column_names = ['$\\bf{IP}$', '$\\bf{PA}$', '$\\bf{WHIP}$', '$\\bf{ERA}$', '$\\bf{FIP}$', '$\\bf{K\%}$', '$\\bf{BB\%}$', '$\\bf{K-BB\%}$', '$\\bf{Strike\%}$']
-        title = f'{df["game_date"][0]} to {df["game_date"][-1]} ({type_dict[game_type[0]]})'
+        title = f'{df["game_date"][0]} to {df["game_date"][-1]} ({type_dict[game_type[0]]}{split_title[split]})'
     else:
         fangraphs_table(df=df, ax=ax, player_input=player_input, season=int(df['game_date'][0][0:4]), split=split)
         return