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 ------" |
希望本文所述对大家Python程序设计有所帮助。