存入数据库
作者:互联网
读取json文件的数据
with open('./jingqu/datapoi.json', 'r') as file: data = file.read() data = json.loads(data)
链接数据库
def du_sql(): mydb = mysql.connector.connect( host="localhost", user="root", password="password", database="scence", auth_plugin="mysql_native_password" ) dbpath = mydb.cursor() savaDataSql(dbpath) mydb.commit()
定于函数分析数据存入数据库
def savaDataSql(dbpath): cur = dbpath try: for each in data: name = each['name'] type = each['type'] if(each['address']!=None): if(len(each['address'])==0): address = '' else: address = each['address'] else: address = '' adname = each['adname'] location = each['location'] citycode = each['citycode'] adcode = each['adcode'] pname = each['pname'] cityname = each['cityname'] date = time.strftime("%Y-%m-%d",time.localtime()) sql = "INSERT INTO scence1 (name,type,address,adname,location,adcode,citycode,pname,cityname,data) values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" var = (name,type,address,adname,location,adcode,citycode,pname,cityname,date) cur.execute(sql,var) except : print(name)
标签:citycode,name,数据库,address,存入,each,data,dbpath 来源: https://www.cnblogs.com/weidewozi/p/14908010.html