Untitled

def event_prediction(input_event,input_event_type):
    
    try:
	#pdb.set_trace()
        event_id_list_tf,event_title_list_tf = event_prediction_tfidf(input_event,input_event_type) ##5 inputs , and one user recommendation ;list
        print("TFIDF Prediction Done")
        event_id_list_contxt,event_title_list_contxt = event_prediction_context(input_event,input_event_type)
        print("Contexual Prediction Done")
        
        df_pred= pd.DataFrame()
        df_pred['event_id'] = event_id_list_tf + event_id_list_contxt
        df_pred['event_title'] = event_title_list_tf + event_title_list_contxt
        df_pred = df_pred.drop_duplicates(subset=['event_id'], keep='first')
        df_pred = df_pred.head()
        
        event_id_list = df_pred['event_id'].tolist()
        event_title_list = df_pred[config.target_column].tolist()
        
        return event_id_list,event_title_list
        
    
    except:
        
        event_id_list = []
        event_title_list = []
        return event_id_list,event_title_list
        

And I am modifying the code as per my requirements as below-

def event_prediction(input_ticket_category, input_ticket_type, input_ticket_item, input_ticket_summary, input_ticket_desc, input_ticket_severity):
    try:
        user_recommendation_list = event_prediction_tfidf(input_ticket_category, input_ticket_type, input_ticket_item, input_ticket_summary, input_ticket_desc, input_ticket_severity) ##5 inputs , and one user recommendation ;list
        print("TFIDF Prediction Done")
        user_recommendation_list_contxt = event_prediction_context(input_ticket_category, input_ticket_type, input_ticket_item, input_ticket_summary, input_ticket_desc, input_ticket_severity)
        print("Contexual Prediction Done")
        
        df_pred= pd.DataFrame()
        #df_pred['event_id'] = event_id_list_tf + event_id_list_contxt
        #df_pred['event_title'] = event_title_list_tf + event_title_list_contxt
        #df_pred = df_pred.drop_duplicates(subset=['event_id'], keep='first')
        df_pred = df_pred.head()
        
        event_id_list = df_pred['event_id'].tolist()
        event_title_list = df_pred[config.target_column].tolist()
        
        return user_recommendation_list
        
    
    except:
        event_id_list = []
        event_title_list = []
        return user_recommendation_list
        
I am not getting what these lines mean -

df_pred['event_id'] = event_id_list_tf + event_id_list_contxt
df_pred['event_title'] = event_title_list_tf + event_title_list_contxt
df_pred = df_pred.drop_duplicates(subset=['event_id'], keep='first')

Can you help me how to modify the code as per my requirements as we want only one user_recommendation_list as output