Update functions/pitch_summary_functions.py

functions/pitch_summary_functions.py

@@ -901,7 +901,9 @@ splits_title = {
 def fangraphs_pitching_leaderboards(season: int,
                                     split: str,
                                     start_date: str = '2024-01-01',
-                                    end_date: str = '2024-12-31'):
+                                    end_date: str = '2024-12-31',
+                                   start_date_input:str,
+                                   end_date_input:str):
     """
     Fetch pitching leaderboards data from Fangraphs.
 
@@ -926,7 +928,7 @@ def fangraphs_pitching_leaderboards(season: int,
     print(start_date,end_date)
     print(f'{season}-01-01',f'{season}-12-31')
 
-    if start_date == f'{season}-01-01' and end_date == f'{season}-12-31':
+    if start_date_input == f'{season}-01-01' and end_date_input == f'{season}-12-31':
 
         url = f"""
            https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&season={season}&season1={season}
@@ -1028,7 +1030,9 @@ def fangraphs_table(df: pl.DataFrame,
                     ax: plt.Axes,
                     player_input: str,
                     season: int,
-                    split: str):
+                    split: str,
+                    start_date_input:str,
+                    end_date_input:str):):
     """
     Create a table of Fangraphs pitching leaderboards data for a specific player.
 
@@ -1051,7 +1055,9 @@ def fangraphs_table(df: pl.DataFrame,
         df_fangraphs = fangraphs_pitching_leaderboards(season=season,
                                     split=split,
                                     start_date = start_date,
-                                    end_date = end_date)
+                                    end_date = end_date,
+                                    start_date_input=start_date_input,
+                                    end_date_input=end_date_input)
 
         df_fangraphs = df_fangraphs.filter(pl.col('xMLBAMID') == player_input)
 
@@ -1096,7 +1102,9 @@ def stat_summary_table(df: pl.DataFrame,
                         sport_id: int, 
                         ax: plt.Axes,
                         split: str = 'All',
-                        game_type: list = ['R']):
+                        game_type: list = ['R'],
+                      start_date_input:str,
+                      end_date_input:str):
     """
     Create a summary table of player statistics.
 
@@ -1165,7 +1173,7 @@ def stat_summary_table(df: pl.DataFrame,
         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]]}{split_title[split]})'
     else:
-        fangraphs_table(df=df, ax=ax, player_input=player_input, season=int(df['game_date'][0][0:4]), split=split)
+        fangraphs_table(df=df, ax=ax, player_input=player_input, season=int(df['game_date'][0][0:4]), split=split,start_date_input=start_date_input,end_date_input)
         print("SEASON LONG DATA")
         return