本文实例讲述了Python实现excel转sqlite的方法。分享给大家供大家参考,具体如下:
Python环境的安装配置就不说了,个人喜欢pydev的开发环境。
python解析excel需要使用第三方的库,这里选择使用xlrd
先看excel内容:
然后是生成的数据库:
下面是源代码:
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#!/usr/bin/python
# encoding=utf-8
'''''
Created on 2013-4-2
@author: ting
'''
from xlrd import open_workbook
import sqlite3
import types
def read_excel(sheet):
# 判断有效sheet
if sheet.nrows > 0 and sheet.ncols > 0 :
for row in range ( 1 , sheet.nrows):
row_data = []
for col in range (sheet.ncols):
data = sheet.cell(row, col).value
# excel表格内容数据类型转换 float->int,unicode->utf-8
if type (data) is types.UnicodeType: data = data.encode( "utf-8" )
elif type (data) is types.FloatType: data = int (data)
row_data.append(data)
check_data_length(row_data)
# 检查row_data长度
def check_data_length(row_data):
if len (row_data) = = 3 :
insert_sqlite(row_data)
def insert_sqlite(row_data):
# 打开数据库(不存在时会创建数据库)
con = sqlite3.connect( "test.db" )
cur = con.cursor()
try :
cur.execute( "create table if not exists contacts(_id integer primary key " \
"autoincrement,name text,age integer,number integer)" )
# 插入数据不要使用拼接字符串的方式,容易收到sql注入攻击
cur.execute( "insert into contacts(name,age,number) values(?,?,?)" , row_data)
con.commit()
except sqlite3.Error as e:
print "An error occurred: %s" , e.args[ 0 ]
finally :
cur.close
con.close
xls_file = "test.xls"
book = open_workbook(xls_file)
for sheet in book.sheets():
read_excel(sheet)
print "------ Done ------"
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希望本文所述对大家Python程序设计有所帮助。