import pandas as pd
import numpy as np
import pymysql as sql
import sqlalchemy
import gc
import time
import datetime
from datetime import date
import pandas as pd
import pymysql
finan_nova_risk=pymysql.connect(host="10.202.26.41",user="ttt",db="finance_nova_risk",password='h2YVP8Hd5RwnreXja4Db',port=3306,charset="utf8")
'''
二、查询变量
'''
sql='''
select * from
t_deci_sx_cash
'''
data=pd.read_sql(sql, finan_nova_risk)
data1=list(data['content'])
q=list()
for i in range(len(data1)):
try:
q.append([eval(data1[i])[j] for j in variable])
except:
q.append('nan')
print(i)
his_Variable = pd.DataFrame(q, columns=variable)