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!"

原文地址：https://www.cnblogs.com/geogre123/p/10286618.html