final_score_mean

#Author：Mini
#！/usr/bin/env python
import numpy as n
import pymysql
import pandas as pd
conn = pymysql.connect(host="127.0.0.1", user="root", passwd="wangmianny111", db="galaxy_macau_ad",charset='utf8')
sql1="select * from tripadvisor_chinese"
data=pd.read_sql(sql1,conn)
print("#######################")
print(len(data))
print("***************************")
print(data.columns)

print(data)
print(data.describe())
topic=['bubble_rating','service', 'emplyees', 'Grand_Resort_Deck', 'room', 'Galaxy_macau','facilities', 'location', 'restaurants_food', 'price', 'hotels','casino', 'lobby', 'shuttle_bus', 'check_in', 'shopping_center','check_out', 'demond_show']
data=data.T
print("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(data)

for i in data.columns:
    m = 0
    sum = 0

    for j in range(4,21):
        if(data[i].isnull())[j]:
            pass
        else:
            m+=1
            sum+=data[i][j]
            #print(data[i][0],data[i][j])
            #print(sum)

    if m==0:
        pass
    else:
        final_score=sum/m
        final_score=float('%.1f' % final_score)
        print(sum,m)
        print(data[i][0],final_score,data[i][4])
        sql = "UPDATE tripadvisor_chinese SET final_score = '" + str(final_score) + "' WHERE customer_num = '" + str(
        data[i][0]) + "' ;"
        conn.query(sql)
        conn.commit()
        print("sucess!")


#print(data["service"])
"""for i in data.columns:
    for j in data:
        avg=n.mean(data[i][j])
        print("avg:"+avg)
        m=+1
      """