Update app.py

app.py

@@ -110,7 +110,14 @@ app_ui = ui.page_fluid(
 
                 output_tabulator("table_stuff_all")
                 
-                )
+                ),
+            ui.nav("tjStuff+ Team",
+                   
+                 ui.row(
+                    ui.column(2,
+                    )),           
+                output_tabulator("table_tjstuff_team")
+            ),
             
         )
     )
@@ -972,5 +979,80 @@ def server(input, output, session):
         )
 
 
+    @output
+    @render_tabulator
+    @reactive.event(input.refresh)
+    def table_tjstuff_team():
+
+        df_spring = spring_data()
+
+        # df_year_old = stuff_apply.stuff_apply(fe.feature_engineering(pl.concat([df_mlb,df_aaa,df_a,df_afl])))
+        # df_year_2old = stuff_apply.stuff_apply(fe.feature_engineering(pl.concat([df_mlb_2023])))
+        df_spring_stuff = stuff_apply.stuff_apply(fe.feature_engineering(df_spring))
+
+
+
+        import polars as pl
+
+
+
+        df_spring_group = df_spring_stuff.group_by(['pitcher_team']).agg([
+            pl.col('start_speed').count().alias('count'),
+            pl.col('start_speed').mean().alias('start_speed'),
+            pl.col('start_speed').max().alias('max_start_speed'),
+            pl.col('ivb').mean().alias('ivb'),
+            pl.col('hb').mean().alias('hb'),
+            pl.col('release_pos_z').mean().alias('release_pos_z'),
+            pl.col('release_pos_x').mean().alias('release_pos_x'),
+            pl.col('extension').mean().alias('extension'),
+            pl.col('tj_stuff_plus').mean().round(0).alias('tj_stuff_plus'),
+            (pl.col('start_speed').filter(pl.col('batter_hand')=='L').count()).alias('rhh_count'),
+            (pl.col('start_speed').filter(pl.col('batter_hand')=='R').count()).alias('lhh_count')
+        ])
+
+
+
+        columns = [
+            # { "title": "Pitcher Name", "field": "pitcher_name", "width": 250, "headerFilter":"input" ,"frozen":True,},
+            { "title": "Team", "field": "pitcher_team", "width": 250, "headerFilter":"input" ,"frozen":True,},
+            # { "title": "Pitch Type", "field": "pitch_type", "width": 125, "headerFilter":"input" ,"frozen":True,},
+            # { "title": "New?", "field": "new_pitch", "width": 125, "headerFilter":"input" ,"frozen":False,},
+            { "title": "Pitches", "field": "count", "width": 250 , "headerFilter":"input"},
+            # { "title": "Pitch%", "field": "pitch_percent_formatted", "width": 100, "headerFilter":"input"},
+            # { "title": "RHH%", "field": "rhh_percent_formatted", "width": 90, "headerFilter":"input"},
+            # { "title": "LHH%", "field": "lhh_percent_formatted", "width": 90, "headerFilter":"input"},
+            # { "title": "Velocity", "field": "start_speed_formatted", "width": 100, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "Max Velo", "field": "max_start_speed_formatted", "width": 100, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "iVB", "field": "ivb_formatted", "width": 80, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "HB", "field": "hb_formatted", "width": 80, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "RelH", "field": "release_pos_z_formatted", "width": 80, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "RelS", "field": "release_pos_x_formatted", "width": 80, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "Extension", "field": "extension_formatted", "width": 125, "headerFilter":"input", "formatter":"textarea" },
+            { "title": "tjStuff+", "field": "tj_stuff_plus", "width": 250, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "2024 tjStuff+", "field": "tj_stuff_plus_old", "width": 100, "headerFilter":"input", "formatter":"textarea" },
+            # { "title": "Δ", "field": "tj_stuff_plus_diff", "width": 100, "headerFilter":"input", "formatter":"textarea" }
+        ]
+
+        df_merge = df_spring_group.clone()
+
+        df_plot = df_merge.sort(['pitcher_team','count'],descending=True).to_pandas()
+
+        # team_dict = dict(zip(df_spring['pitcher_id'],df_spring['pitcher_team']))
+        # df_plot['pitcher_team'] = df_plot['pitcher_id'].map(team_dict)
+
+
+
+        return Tabulator(
+            df_plot,
+            
+            table_options=TableOptions(
+                height=750,
+                
+                columns=columns,
+            )
+        )
+
+
+
 
 app = App(app_ui, server)