Update app.py

app.py

@@ -326,6 +326,7 @@ app_ui = ui.page_fluid(
             ui.input_date_range("scorer_date_id", "Streamer Stats Date Range",start = max(datetime.today().date()- timedelta(days=21),pd.to_datetime('2023-10-10')), end = datetime.today().date()),
             ui.input_numeric('min_games','Min. Games (Streamers)',value=3),
             ui.input_numeric('max_head','Number of Rows (Streamers)',value=15),
+            ui.input_numeric('roster_p','Max Roster Percent% (Streamers)',value=50),
             ui.output_table("result"),width=3),
          
         
@@ -348,11 +349,11 @@ app_ui = ui.page_fluid(
                         ui.tags.h3(""),
                         ui.div({"style": "font-size:2.7em;"},ui.output_text("txt_title_streamers")),
                         ui.tags.h5("Created By: @TJStats,     Data: NHL, Natural Stat Trick, Yahoo Fantasy"),
-                        ui.div({"style": "font-size:2em;"},'Forwards Scoring Streamer Targets (<50% Rostered)'),
+                        ui.div({"style": "font-size:2em;"},ui.output_text("txt_title_streamers_roster_f")),
                         ui.div({"style": "font-size:1em;"},ui.output_text("txt_title_streamers_dates_f")),
                         ui.output_table("scorer_streamers_f"),
                         ui.tags.h3(""),
-                        ui.div({"style": "font-size:2em;"},'Defence Scoring Streamer Targets (<50% Rostered)'),
+                        ui.div({"style": "font-size:2em;"},ui.output_text("txt_title_streamers_roster_d")),
                         ui.div({"style": "font-size:1em;"},ui.output_text("txt_title_streamers_dates_d")),
                         ui.output_table("scorer_streamers_d"),                           
                            
@@ -362,11 +363,11 @@ app_ui = ui.page_fluid(
                         ui.tags.h3(""),
                         ui.div({"style": "font-size:2.7em;"},ui.output_text("txt_title_streamers_bang")),
                         ui.tags.h5("Created By: @TJStats,     Data: NHL, Natural Stat Trick, Yahoo Fantasy"),
-                        ui.div({"style": "font-size:2em;"},'Forwards Bangers Streamer Targets (<50% Rostered)'),
+                        ui.div({"style": "font-size:2em;"},ui.output_text("txt_title_streamers_roster_f_bang")),
                         ui.div({"style": "font-size:1em;"},ui.output_text("txt_title_streamers_dates_f_bang")),
                         ui.output_table("banger_streamers_f"),
                         ui.tags.h3(""),
-                        ui.div({"style": "font-size:2em;"},'Defence Bangers Streamer Targets (<50% Rostered)'),
+                        ui.div({"style": "font-size:2em;"},ui.output_text("txt_title_streamers_roster_d_bang")),
                         ui.div({"style": "font-size:1em;"},ui.output_text("txt_title_streamers_dates_d_bang")),
                         ui.output_table("banger_streamers_d"),                           
                            
@@ -478,12 +479,32 @@ def server(input, output, session):
             return f'Fantasy Hockey Scorers Streamers - Week {input.week_id()}'
         else:
             return f'Fantasy Hockey Scorers Streamers'
-        
 
     @output
     @render.text
     def txt_title_streamers_dates_f():
         return f'2023-24 Season - {input.scorer_date_id()[0]} to {input.scorer_date_id()[1]} (min. {input.min_games()} GP)'
+    
+    @output
+    @render.text
+    def txt_title_streamers_roster_f():
+        return f'Forwards Bangers Streamer Targets (<{input.roster_p()/100:.0%} Rostered)'
+    
+    @output
+    @render.text
+    def txt_title_streamers_roster_d():
+        return f'Forwards Bangers Streamer Targets (<{input.roster_p()/100:.0%} Rostered)'
+    
+    @output
+    @render.text
+    def txt_title_streamers_roster_f_bang():
+        return f'Forwards Bangers Streamer Targets (<{input.roster_p()/100:.0%} Rostered)'
+
+
+    @output
+    @render.text
+    def txt_title_streamers_roster_d_bang():
+        return f'Forwards Bangers Streamer Targets (<{input.roster_p()/100:.0%} Rostered)'
 
     @output
     @render.text
@@ -784,7 +805,7 @@ def server(input, output, session):
         df_dated_score_group['PP_percent'] = df_dated_score_group.PP_toi / df_dated_score_group.team_pp
         df_dated_score_group = df_dated_score_group.reset_index()
         df_dated_score_group = df_dated_score_group.merge(test_df[['Team','Off-Night']],left_on=['Team'],right_on=['Team'])
-        df_dated_score_group = df_dated_score_group[(df_dated_score_group.Team.isin(team_top))&(df_dated_score_group.percent_owned <= .50 )]
+        df_dated_score_group = df_dated_score_group[(df_dated_score_group.Team.isin(team_top))&(df_dated_score_group.percent_owned <= input.roster_p()/100 )]
         df_dated_score_group['TOI'] = ["%d:%02d" % (int(x),(x*60)%60) for x in df_dated_score_group['TOI'].astype(float)]
         df_dated_score_group_table = df_dated_score_group[['Player','Team' ,'position', 'percent_owned', 'GP', 'TOI',
             'Goals', 'ixG', 'Assists', 'Points', 'Shots', 'PP_Points', 'PP_percent','Off-Night']].sort_values(['Points','Off-Night','PP_percent','Goals','Shots'],ascending=False)
@@ -922,7 +943,7 @@ def server(input, output, session):
         df_dated_score_group['PP_percent'] = df_dated_score_group.PP_toi / df_dated_score_group.team_pp
         df_dated_score_group = df_dated_score_group.reset_index()
         df_dated_score_group = df_dated_score_group.merge(test_df[['Team','Off-Night']],left_on=['Team'],right_on=['Team'])
-        df_dated_score_group = df_dated_score_group[(df_dated_score_group.Team.isin(team_top))&(df_dated_score_group.percent_owned <= .50 )]
+        df_dated_score_group = df_dated_score_group[(df_dated_score_group.Team.isin(team_top))&(df_dated_score_group.percent_owned <= input.roster_p()/100 )]
         df_dated_score_group['TOI'] = ["%d:%02d" % (int(x),(x*60)%60) for x in df_dated_score_group['TOI'].astype(float)]
         df_dated_score_group_table = df_dated_score_group[['Player','Team' ,'position', 'percent_owned', 'GP', 'TOI',
             'Goals', 'ixG', 'Assists', 'Points', 'Shots', 'PP_Points', 'PP_percent','Off-Night']].sort_values(['Points','Off-Night','PP_percent','Goals','Shots'],ascending=False)
@@ -1059,7 +1080,7 @@ def server(input, output, session):
         #df_dated_bangers_group['PP_percent'] = df_dated_bangers_group.PP_toi / df_dated_bangers_group.team_pp
         df_dated_bangers_group = df_dated_bangers_group.reset_index()
         df_dated_bangers_group = df_dated_bangers_group.merge(test_df[['Team','Off-Night']],left_on=['Team'],right_on=['Team'])
-        df_dated_bangers_group = df_dated_bangers_group[(df_dated_bangers_group.Team.isin(team_top))&(df_dated_bangers_group.percent_owned <= .50 )]
+        df_dated_bangers_group = df_dated_bangers_group[(df_dated_bangers_group.Team.isin(team_top))&(df_dated_bangers_group.percent_owned <= input.roster_p()/100 )]
         df_dated_bangers_group['TOI'] = ["%d:%02d" % (int(x),(x*60)%60) for x in df_dated_bangers_group['TOI'].astype(float)]
         df_dated_bangers_group_table = df_dated_bangers_group[['Player','Team' ,'position', 'percent_owned', 'GP', 'TOI',
             'Goals', 'Assists', 'Points', 'Shots', 'Hits', 'Blocks','S_H_B','Off-Night']].sort_values(['S_H_B','Off-Night','Shots','Hits','Blocks','Points'],ascending=False)
@@ -1199,7 +1220,7 @@ def server(input, output, session):
         #df_dated_bangers_group['PP_percent'] = df_dated_bangers_group.PP_toi / df_dated_bangers_group.team_pp
         df_dated_bangers_group = df_dated_bangers_group.reset_index()
         df_dated_bangers_group = df_dated_bangers_group.merge(test_df[['Team','Off-Night']],left_on=['Team'],right_on=['Team'])
-        df_dated_bangers_group = df_dated_bangers_group[(df_dated_bangers_group.Team.isin(team_top))&(df_dated_bangers_group.percent_owned <= .50 )]
+        df_dated_bangers_group = df_dated_bangers_group[(df_dated_bangers_group.Team.isin(team_top))&(df_dated_bangers_group.percent_owned <= input.roster_p()/100 )]
         df_dated_bangers_group['TOI'] = ["%d:%02d" % (int(x),(x*60)%60) for x in df_dated_bangers_group['TOI'].astype(float)]
         df_dated_bangers_group_table = df_dated_bangers_group[['Player','Team' ,'position', 'percent_owned', 'GP', 'TOI',
             'Goals', 'Assists', 'Points', 'Shots', 'Hits', 'Blocks','S_H_B','Off-Night']].sort_values(['S_H_B','Off-Night','Shots','Hits','Blocks','Points'],ascending=False)