Update app.py

app.py

@@ -321,11 +321,18 @@ def server(input, output, session):
                         df_summ_player['barrel_percent'] = np.nan
                         df_summ_player['hard_hit_percent'] = np.nan
                         df_summ_player['xwoba_percent'] = np.nan
+                        df_summ_player['xwoba_percent_contact'] = np.nan
                 if df_summ_player_pct['launch_speed'].isna().values[0]:
                         df_summ_player_pct['sweet_spot_percent'] = np.nan
                         df_summ_player_pct['barrel_percent'] = np.nan
                         df_summ_player_pct['hard_hit_percent'] = np.nan    
-                        df_summ_player_pct['xwoba_percent'] = np.nan    
+                        df_summ_player_pct['xwoba_percent'] = np.nan  
+                        df_summ_player['xwoba_percent_contact'] = np.nan
+                if df_summ_batter_pitch['launch_speed'].isna().values[0]:
+                        df_summ_batter_pitch['xwoba_percent_contact'] = np.nan
+
+
+                    
                 # x = 0.1
                 # y = 0.9
                 for cat in range(len(column_list)):
@@ -508,7 +515,7 @@ def server(input, output, session):
                         ha='center',
                         va='center')
 
-                df_plot = df_summ_batter_pitch[column_list_pitch].xs([batter_select,df_summ_update.xs(batter_select,level=0).index[0]]).sort_values('pitches',ascending=False)#.dropna()
+                df_plot = df_summ_batter_pitch[column_list_pitch].xs([batter_select,df_summ_update.xs(batter_select,level=0).index[0]]).sort_values('pitches',ascending=False).fillna('—')
                 df_plot = df_plot[df_plot['pitches'] > 0]
 
                 df_plot_pct = df_summ_batter_pitch_pct[column_list_pitch].xs([batter_select,df_summ_update.xs(batter_select,level=0).index[0]]).sort_values('pitches',ascending=False)#.dropna()
@@ -571,7 +578,7 @@ def server(input, output, session):
 
 
 
-                float_3_list = ['xwoba_percent']
+                float_3_list = ['xwoba_percent_contact']
                 for fl in float_3_list:
                         # Subset of column names
                         subset_columns = [fl]