Python connects the Navicat online database and imports the contents of the excel table into it

Python connects the Navicat online database and imports the contents of the excel table into it

import time
import pymysql
import xlrd

# 连接数据库
try:
	#financial为数据库名
    db = pymysql.connect(host='xxx', port=3306, user='xxx', password='xxx', db='financial')
except:
    print("could not connect to mysql server")

# 打开excel表格
def open_excel():
    try:
        # file_path为路径
        current_time = time.strftime('%Y-%m-%d', time.localtime())
        file_name = current_time + ".xlsx"
        file_path = "D:\python代码\eastmoneytry\eco_dashangsuo" + "\\" + file_name
        book = xlrd.open_workbook(file_path)
    except:
        print("open excel file failed!")
    try:
        # execl里面的sheet1名字
        sheet = book.sheet_by_name("期货市场大商所")
        return sheet
    except:
        print("locate worksheet in excel failed!")

# 往数据库里插入表格数据
def insert_deta():
    sheet = open_excel()
    cursor = db.cursor()
    # 获取excel表格的竖行
    row_num = sheet.nrows
    # 第一行是标题名，对应表中的字段名所以应该从第二行开始，计算机以0开始计数，所以值是1
    for i in range(0, row_num):  
        # row_data是表格的竖行，有多少竖行要导入就要有多少row_data[]
        row_data = sheet.row_values(i)
        value = (row_data[0], row_data[1], row_data[2], row_data[3],row_data[4], row_data[5], row_data[6], row_data[7],row_data[8], row_data[9], row_data[10], row_data[11],row_data[12], row_data[13], row_data[14])
        # print(i)
        sql = "INSERT INTO aaa(id,e_name,name,last_price,ud_price,u,begin,high,low,y_finish,cjl,money,buy,hava,cell)VALUES(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s )"
        # 执行sql语句
        cursor.execute(sql, value)
        db.commit()
    # 关闭连接
    cursor.close()

def update():
    cursor = db.cursor()
    # 往数据库中的date插入数据，内容为当天的时间
    update="update aaa set date=CURDATE() where date is null"
    cursor.execute(update)
    db.commit()
    cursor.close()

def remove():
    cursor = db.cursor()
    # 删除数据库中id为0的数据
    remove = "DELETE  from aaa WHERE id='0'"
    cursor.execute(remove)
    db.commit()
    cursor.close()

open_excel()
insert_deta()
update()
remove()

Before using this code, you can crawl the data of DCE in the futures market.
See another article for the crawling code https://blog.csdn.net/m0_50481455/article/details/108724684

This article has been modified according to this link.
Reference link https://www.cnblogs.com/longbigbeard/p/9309180.html