Update app.py

app.py

@@ -101,7 +101,10 @@ dataset = load_dataset('nesticot/mlb_data', data_files=['mlb_pitch_data_2024.csv
 dataset_train = dataset['train']
 df_a = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
 
+import datetime
 
+date_string = df_a['game_date'].min()
+date_min = datetime.datetime.strptime(date_string, "%Y-%m-%d").date()
 sport_id_input = 1
 
 
@@ -210,10 +213,10 @@ def server(input, output, session):
                 ax.axis('off')
                 return fig 
         
-        df_summ_filter = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select)[0]
-        df_summ_filter_pct = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select)[1]
-        df_summ_player = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select)[2]
-        df_summ_player_pct = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select)[3]
+        df_summ_filter = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select,date_min=date_min)[0]
+        df_summ_filter_pct = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select,date_min=date_min)[1]
+        df_summ_player = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select,date_min=date_min)[2]
+        df_summ_player_pct = df_summ_filter_out(df_summ=df_summ_update,batter_select = batter_select,date_min=date_min)[3]
 
         df_summ_batter_pitch = df_summ_batter_pitch_up(df= df_update).set_index(['batter_id','batter_name','pitch_category'])