Update batting_update.py

batting_update.py

@@ -480,8 +480,16 @@ def df_summ_changes(df_summ=pd.DataFrame()):
     df_summ = df_summ.dropna(subset=['bip'])
     return df_summ
 
-def df_summ_filter_out(df_summ=pd.DataFrame(),batter_select = 0):
-    df_summ_filter = df_summ[df_summ['pa'] >= min(math.floor(df_summ.xs(batter_select,level=0)['pa']/10)*10,500)]
+def df_summ_filter_out(df_summ=pd.DataFrame(),batter_select = 0,date_min=0):
+    import datetime
+
+    def weeks_after(day):
+        today = datetime.date.today()
+        time_difference = today - day
+        weeks = time_difference.days // 7
+        return weeks
+
+    df_summ_filter = df_summ[df_summ['pa'] >= min(math.floor(df_summ.xs(batter_select,level=0)['pa']/10)*10,500,weeks_after(date_min)*20)]
     df_summ_filter_pct = df_summ_filter.rank(pct=True,ascending=True)
     df_summ_player = df_summ.xs(batter_select,level=0)
     df_summ_player_pct = df_summ_filter_pct.xs(batter_select,level=0)