Update app.py

app.py

@@ -822,39 +822,39 @@ def server(input, output, session):
                         table.set_fontsize(12)
                         table.scale(1, 1.5)
 
-                    if sport_id == 1:
+                if sport_id == 1:
 
-                   
-                        
-                        url_season = url = f"""
-                           https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&season={year}&season1={year}
-                           &startdate={year}-01-01&enddate={year}-12-01&ind=0&qual=0&type=8&month=33&pageitems=500000
-                           """
-                        data_season = requests.get(url_season).json()
-                        df_season = pl.DataFrame(data=data_season['data'], infer_schema_length=1000)
-                        df_season = df_season.with_columns(pl.lit('Season').alias('Time'))   
-                        df_fg_filter =  df_season.filter(pl.col('xMLBAMID')==int(input.pitcher_id()))
-                        metrics_data = {
-                            "G": f"{df_fg_filter['G'][0]:.0f}",
-                            "IP": f"{df_fg_filter['IP'][0]:.1f}",
-                            "Pitches": f"{new_player_metrics['pitches'][0]:.0f}",
-                            "PA": f"{df_fg_filter['TBF'][0]:.0f}",
-                            "BIP": new_player_metrics['bip'][0],
-                            "ERA": f"{df_fg_filter['ERA'][0]:.2f}",
-                            "FIP": f"{df_fg_filter['FIP'][0]:.2f}",
-                            "WHIP": f"{df_fg_filter['WHIP'][0]:.2f}",
-                        }
+               
+                    
+                    url_season = url = f"""
+                       https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&season={year}&season1={year}
+                       &startdate={year}-01-01&enddate={year}-12-01&ind=0&qual=0&type=8&month=33&pageitems=500000
+                       """
+                    data_season = requests.get(url_season).json()
+                    df_season = pl.DataFrame(data=data_season['data'], infer_schema_length=1000)
+                    df_season = df_season.with_columns(pl.lit('Season').alias('Time'))   
+                    df_fg_filter =  df_season.filter(pl.col('xMLBAMID')==int(pitcher_id))
+                    metrics_data = {
+                        "G": f"{df_fg_filter['G'][0]:.0f}",
+                        "IP": f"{df_fg_filter['IP'][0]:.1f}",
+                        "Pitches": f"{new_player_metrics['pitches'][0]:.0f}",
+                        "PA": f"{df_fg_filter['TBF'][0]:.0f}",
+                        "BIP": new_player_metrics['bip'][0],
+                        "ERA": f"{df_fg_filter['ERA'][0]:.2f}",
+                        "FIP": f"{df_fg_filter['FIP'][0]:.2f}",
+                        "WHIP": f"{df_fg_filter['WHIP'][0]:.2f}",
+                    }
 
-                            
-                        df_table = pd.DataFrame(metrics_data, index=[0])
                         
-                        table = ax_table.table(cellText=df_table.values, colLabels=df_table.columns, cellLoc='center', loc='bottom', bbox=[0.07, 0, 0.86, 1])
-                        for key, cell in table.get_celld().items():
-                            if key[0] == 0:
-                                cell.set_text_props(fontweight='bold')
-                        table.auto_set_font_size(False)
-                        table.set_fontsize(12)
-                        table.scale(1, 1.5)
+                    df_table = pd.DataFrame(metrics_data, index=[0])
+                    
+                    table = ax_table.table(cellText=df_table.values, colLabels=df_table.columns, cellLoc='center', loc='bottom', bbox=[0.07, 0, 0.86, 1])
+                    for key, cell in table.get_celld().items():
+                        if key[0] == 0:
+                            cell.set_text_props(fontweight='bold')
+                    table.auto_set_font_size(False)
+                    table.set_fontsize(12)
+                    table.scale(1, 1.5)
 
                 # Additional subplots for spacing
                 ax_top = fig.add_subplot(gs[0, :])