使用Python将Excel中的数据导入到MySQL
工具
- Python 2.7
- xlrd
- MySQLdb
安装
- Python
对于不同的系统安装方式不同,Windows平台有exe安装包,Ubuntu自带。使用前请使用下面的命令确保是2.7.x版本:
python --version
- xlrd :
这是一个扩Python包,可以使用pip包管理工具安装:pip install xlrd
- MySQLdb
为MySQL 的Python驱动接口包,可以到http://sourceforge.net/projects/mysql-python/下载安装。在Ubuntu你可以使用sudo apt-get install python-mysql
安装
实现数据转移
功能很简单,直接在代码中注释了
""" 功能:将Excel数据导入到MySQL数据库 """ import xlrd import MySQLdb # Open the workbook and define the worksheet book = xlrd.open_workbook("pytest.xls") sheet = book.sheet_by_name("source") #建立一个MySQL连接 database = MySQLdb.connect (host="localhost", user = "root", passwd = "", db = "mysqlPython") # 获得游标对象, 用于逐行遍历数据库数据 cursor = database.cursor() # 创建插入SQL语句 query = """INSERT INTO orders (product, customer_type, rep, date, actual, expected, open_opportunities, closed_opportunities, city, state, zip, population, region) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)""" # 创建一个for循环迭代读取xls文件每行数据的, 从第二行开始是要跳过标题 for r in range(1, sheet.nrows): product = sheet.cell(r,).value customer = sheet.cell(r,1).value rep = sheet.cell(r,2).value date = sheet.cell(r,3).value actual = sheet.cell(r,4).value expected = sheet.cell(r,5).value open = sheet.cell(r,6).value closed = sheet.cell(r,7).value city = sheet.cell(r,8).value state = sheet.cell(r,9).value zip = sheet.cell(r,10).value pop = sheet.cell(r,11).value region = sheet.cell(r,12).value values = (product, customer, rep, date, actual, expected, open, closed, city, state, zip, pop, region) # 执行sql语句 cursor.execute(query, values) # 关闭游标 cursor.close() # 提交 database.commit() # 关闭数据库连接 database.close() # 打印结果 print "" print "Done! " print "" columns = str(sheet.ncols) rows = str(sheet.nrows) print "我刚导入了 " %2B columns %2B " 列 and " %2B rows %2B " 行数据到MySQL!"