Update app.py

app.py

@@ -64,32 +64,32 @@ exit_velo_df_aaa = dataset_train.to_pandas().set_index(list(dataset_train.featur
 #print(df_2023)
 exit_velo_df_aaa['level'] = 'AAA'
 
-# ### Import Datasets
-# dataset = load_dataset('nesticot/mlb_data', data_files=['aa_pitch_data_2023.csv',
-#                                                          ])
-# dataset_train = dataset['train']
-# exit_velo_df_aa = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
-# #print(df_2023)
-# exit_velo_df_aa['level'] = 'AA'
-
-# ### Import Datasets
-# dataset = load_dataset('nesticot/mlb_data', data_files=['high_a_pitch_data_2023.csv',
-#                                                          ])
-# dataset_train = dataset['train']
-# exit_velo_df_ha = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
-# #print(df_2023)
-# exit_velo_df_ha['level'] = 'A+'
-
-# ### Import Datasets
-# dataset = load_dataset('nesticot/mlb_data', data_files=['a_pitch_data_2023.csv',
-#                                                          ])
-# dataset_train = dataset['train']
-# exit_velo_df_a = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
-# #print(df_2023)
-# exit_velo_df_a['level'] = 'A'
-
-# exit_velo_df = pd.concat([exit_velo_df_mlb,exit_velo_df_aaa,exit_velo_df_aa,exit_velo_df_ha,exit_velo_df_a])
-exit_velo_df = pd.concat([exit_velo_df_mlb,exit_velo_df_aaa])
+### Import Datasets
+dataset = load_dataset('nesticot/mlb_data', data_files=['aa_pitch_data_2024.csv',
+                                                         ])
+dataset_train = dataset['train']
+exit_velo_df_aa = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
+#print(df_2023)
+exit_velo_df_aa['level'] = 'AA'
+
+### Import Datasets
+dataset = load_dataset('nesticot/mlb_data', data_files=['high_a_pitch_data_2024.csv',
+                                                         ])
+dataset_train = dataset['train']
+exit_velo_df_ha = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
+#print(df_2023)
+exit_velo_df_ha['level'] = 'A+'
+
+### Import Datasets
+dataset = load_dataset('nesticot/mlb_data', data_files=['a_pitch_data_2024.csv',
+                                                         ])
+dataset_train = dataset['train']
+exit_velo_df_a = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)
+#print(df_2023)
+exit_velo_df_a['level'] = 'A'
+
+exit_velo_df = pd.concat([exit_velo_df_mlb,exit_velo_df_aaa,exit_velo_df_aa,exit_velo_df_ha,exit_velo_df_a])
+# exit_velo_df = pd.concat([exit_velo_df_mlb,exit_velo_df_aaa])
 # exit_velo_df_copy = exit_velo_df.copy()
 
 # exit_velo_df = exit_velo_df_copy.copy()
@@ -368,6 +368,9 @@ plot_dict = {
 
 batter_dict_mlb = exit_velo_df_mlb.sort_values(['batter_name']).set_index('batter_id')['batter_name'].to_dict()
 batter_dict_aaa = exit_velo_df_aaa.sort_values(['batter_name']).set_index('batter_id')['batter_name'].to_dict()
+batter_dict_aa = exit_velo_df_aa.sort_values(['batter_name']).set_index('batter_id')['batter_name'].to_dict()
+batter_dict_high_a = exit_velo_df_high_a.sort_values(['batter_name']).set_index('batter_id')['batter_name'].to_dict()
+batter_dict_a = exit_velo_df_a.sort_values(['batter_name']).set_index('batter_id')['batter_name'].to_dict()
 
 level_dict = {'MLB':'MLB','AAA':'AAA','AA':'AA','A+':'A+','A':'A'}
 
@@ -410,8 +413,23 @@ def server(input,output,session):
                 #test_df =  test_df[test_df.pitcher == 'Chris Bassitt'].append(test_df[test_df.pitcher != 'Chris Bassitt'])
                 #batter_dict = exit_velo_df_aaa.set_index('batter_id')['batter_name'].to_dict()
                 return ui.input_select("id", "Select Player",batter_dict_aaa,selectize=True)
+
+            if input.my_tabs() == 'AA':
+                #test_df =  test_df[test_df.pitcher == 'Chris Bassitt'].append(test_df[test_df.pitcher != 'Chris Bassitt'])
+                #batter_dict = exit_velo_df_aaa.set_index('batter_id')['batter_name'].to_dict()
+                return ui.input_select("id", "Select Player",batter_dict_aaa,selectize=True)
+
+            if input.my_tabs() == 'A+':
+                #test_df =  test_df[test_df.pitcher == 'Chris Bassitt'].append(test_df[test_df.pitcher != 'Chris Bassitt'])
+                #batter_dict = exit_velo_df_aaa.set_index('batter_id')['batter_name'].to_dict()
+                return ui.input_select("id", "Select Player",batter_dict_aaa,selectize=True)      
                 
+            if input.my_tabs() == 'A':
+                #test_df =  test_df[test_df.pitcher == 'Chris Bassitt'].append(test_df[test_df.pitcher != 'Chris Bassitt'])
+                #batter_dict = exit_velo_df_aaa.set_index('batter_id')['batter_name'].to_dict()
+                return ui.input_select("id", "Select Player",batter_dict_aaa,selectize=True)
 
+    
     @output
     @render.plot(alt="A histogram")
     @reactive.event(input.go, ignore_none=False)
@@ -441,6 +459,50 @@ def server(input,output,session):
                          window_select = input.n(),
                          level_id = input.my_tabs())
  
+    @output
+    @render.plot(alt="A histogram")
+    @reactive.event(input.go, ignore_none=False)
+    def plot_aa():
+         
+
+        rbf.rolling_plot(df = exit_velo_df_codes[exit_velo_df_codes['level']==input.my_tabs()],
+                         df_summ = exit_velo_df_codes_summ[exit_velo_df_codes_summ['level']==input.my_tabs()],
+                         player_id = input.id(),
+                         stat_id = input.stat_id(),
+                         batter_dict = batter_dict_aa,
+                         window_select = input.n(),
+                         level_id = input.my_tabs())
+    @output
+    @render.plot(alt="A histogram")
+    @reactive.event(input.go, ignore_none=False)
+    def plot_high_a():
+         
+
+        rbf.rolling_plot(df = exit_velo_df_codes[exit_velo_df_codes['level']==input.my_tabs()],
+                         df_summ = exit_velo_df_codes_summ[exit_velo_df_codes_summ['level']==input.my_tabs()],
+                         player_id = input.id(),
+                         stat_id = input.stat_id(),
+                         batter_dict = batter_dict_high_a,
+                         window_select = input.n(),
+                         level_id = input.my_tabs())
+        
+    @output
+    @render.plot(alt="A histogram")
+    @reactive.event(input.go, ignore_none=False)
+    def plot_a():
+         
+
+        rbf.rolling_plot(df = exit_velo_df_codes[exit_velo_df_codes['level']==input.my_tabs()],
+                         df_summ = exit_velo_df_codes_summ[exit_velo_df_codes_summ['level']==input.my_tabs()],
+                         player_id = input.id(),
+                         stat_id = input.stat_id(),
+                         batter_dict = batter_dict_a,
+                         window_select = input.n(),
+                         level_id = input.my_tabs())
+ 
+
+
+
 
 
 app = App(ui.page_fluid(
@@ -547,8 +609,12 @@ app = App(ui.page_fluid(
             ui.nav("MLB",
                 ui.output_plot("plot_mlb",height = "1000px",width="1000px")),
             ui.nav("AAA",
-                ui.output_plot("plot_aaa",height = "1000px",width="1000px"))
-
-
+                ui.output_plot("plot_aaa",height = "1000px",width="1000px")),
+            ui.nav("AA",
+                ui.output_plot("plot_aa",height = "1000px",width="1000px"))                 
+            ui.nav("A+",
+                ui.output_plot("plot_high_a",height = "1000px",width="1000px"))
+            ui.nav("A",
+                ui.output_plot("plot_a",height = "1000px",width="1000px"))
 
                 ,id="my_tabs")))))),server)