python操作sqlite的CRUD執行個體分析

python操作sqlite的CRUD執行個體分析

 　　這篇文章主要介紹了python操作sqlite的CRUD實現方法,涉及Python操作SQLite資料庫CURD相關技巧,需要的朋友可以參考下

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import sqlite3 as db conn = db.connect('mytest.db') cursor = conn.cursor() cursor.execute("drop table if exists datecounts") cursor.execute("create table datecounts(date text, count int)") cursor.execute('insert into datecounts values("12/1/2011",35)') cursor.execute('insert into datecounts values("12/2/2011",42)') cursor.execute('insert into datecounts values("12/3/2011",38)') cursor.execute('insert into datecounts values("12/4/2011",41)') cursor.execute('insert into datecounts values("12/5/2011",40)') cursor.execute('insert into datecounts values("12/6/2011",28)') cursor.execute('insert into datecounts values("12/7/2011",45)') conn.row_factory = db.Row cursor.execute("select * from datecounts") rows = cursor.fetchall() for row in rows: print("%s %s" % (row[0], row[1])) cursor.execute("select avg(count) from datecounts") row = cursor.fetchone() print("The average count for the week was %s" % row[0]) cursor.execute("delete from datecounts where count = 40") cursor.execute("select * from datecounts") rows = cursor.fetchall() for row in rows: print("%s %s" % (row[0], row[1]))

　　希望本文所述對大家的Python程式設計有所協助。

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