update

app.py

@@ -86,14 +86,14 @@ batch_data = results_df_preprocessed
 batch_data.drop(columns=['incident_datetime','incident_category'], inplace=True)
 y_pred = model.predict(batch_data)
 
-batch_data["incident_day_of_week"]=batch_data.apply(lambda x:unencode_weekday(x.incident_day_of_week_Friday,x.incident_day_of_week_Monday,x.incident_day_of_week_Saturday,x.incident_day_of_week_Sunday,x.incident_day_of_week_Thursday,x.incident_day_of_week_Tuesday,x.incident_day_of_week_Wednesday),axis=1)
-batch_data.drop(columns=["incident_day_of_week_Friday","incident_day_of_week_Monday","incident_day_of_week_Saturday","incident_day_of_week_Sunday","incident_day_of_week_Thursday","incident_day_of_week_Tuesday","incident_day_of_week_Wednesday"],inplace=True)
-batch_data["report_type_code"]=batch_data.apply(lambda x:unencode_report_type_code(x.report_type_code_II,x.report_type_code_IS,x.report_type_code_VI,x.report_type_code_VS),axis=1)
-batch_data.drop(columns=["report_type_code_II","report_type_code_IS","report_type_code_VI","report_type_code_VS"],inplace=True)
-batch_data["police_district"]=batch_data.apply(lambda x:unencode_police_district(x.police_district_Bayview,x.police_district_Central,x.police_district_Ingleside,x.police_district_Mission,x.police_district_Northern,x.police_district_OutOfSF,x.police_district_Park,x.police_district_Richmond,x.police_district_Southern,x.police_district_Taraval,x.police_district_Tenderloin),axis=1)
-batch_data.drop(columns=["police_district_Bayview","police_district_Central","police_district_Ingleside","police_district_Mission","police_district_Northern","police_district_OutOfSF","police_district_Park","police_district_Richmond","police_district_Southern","police_district_Taraval","police_district_Tenderloin"],inplace=True)
+results_df_preprocessed["incident_day_of_week"]=results_df_preprocessed.apply(lambda x:unencode_weekday(x.incident_day_of_week_Friday,x.incident_day_of_week_Monday,x.incident_day_of_week_Saturday,x.incident_day_of_week_Sunday,x.incident_day_of_week_Thursday,x.incident_day_of_week_Tuesday,x.incident_day_of_week_Wednesday),axis=1)
+results_df_preprocessed.drop(columns=["incident_day_of_week_Friday","incident_day_of_week_Monday","incident_day_of_week_Saturday","incident_day_of_week_Sunday","incident_day_of_week_Thursday","incident_day_of_week_Tuesday","incident_day_of_week_Wednesday"],inplace=True)
+results_df_preprocessed["report_type_code"]=results_df_preprocessed.apply(lambda x:unencode_report_type_code(x.report_type_code_II,x.report_type_code_IS,x.report_type_code_VI,x.report_type_code_VS),axis=1)
+results_df_preprocessed.drop(columns=["report_type_code_II","report_type_code_IS","report_type_code_VI","report_type_code_VS"],inplace=True)
+results_df_preprocessed["police_district"]=results_df_preprocessed.apply(lambda x:unencode_police_district(x.police_district_Bayview,x.police_district_Central,x.police_district_Ingleside,x.police_district_Mission,x.police_district_Northern,x.police_district_OutOfSF,x.police_district_Park,x.police_district_Richmond,x.police_district_Southern,x.police_district_Taraval,x.police_district_Tenderloin),axis=1)
+results_df_preprocessed.drop(columns=["police_district_Bayview","police_district_Central","police_district_Ingleside","police_district_Mission","police_district_Northern","police_district_OutOfSF","police_district_Park","police_district_Richmond","police_district_Southern","police_district_Taraval","police_district_Tenderloin"],inplace=True)
 
-df = batch_data
+df = results_df_preprocessed
 
 st.write(df)
 st.button("Re-run")