Update batting_update.py

batting_update.py

@@ -32,16 +32,21 @@ def df_update(df=pd.DataFrame()):
 
     
         # df['in_zone'] =  [x < 10 if x > 0 else np.nan for x in df['zone']]
+        # df_a['in_zone'] =  [x < 10 if x > 0 else np.nan for x in df_a['zone']]
     if len(df.loc[(~df['px'].isna())&
                   (df['in_zone'].isna())&
                   (~df['sz_top'].isna())]) > 0:
             print('We found missing data')
             df.loc[(~df['px'].isna())&
                             (df['in_zone'].isna())&
-                            (~df['sz_top'].isna()),'in_zone'] = in_zone_model.predict(df.loc[(~df['px'].isna())&
-                                                                                                                    (df['in_zone'].isna())&
-                                                                                                                        (~df['sz_top'].isna())][['px','pz','sz_top','sz_bot']].values)
-
+                            (~df['sz_top'].isna())&
+                            (~df['pz'].isna())&
+                            (~df['sz_bot'].isna())
+                            ,'in_zone'] = in_zone_model.predict(df.loc[(~df['px'].isna())&
+                                                                (df['in_zone'].isna())&
+                                                                (~df['sz_top'].isna())&
+                                                                (~df['pz'].isna())&
+                                                                (~df['sz_bot'].isna())][['px','pz','sz_top','sz_bot']].values)
     hit_codes = ['single',
         'double','home_run', 'triple']