python操作sqlite的CRUD實(shí)例分析

    這篇文章主要介紹了python操作sqlite的CRUD實(shí)現(xiàn)方法,涉及Python操作SQLite數(shù)據(jù)庫CURD相關(guān)技巧,需要的朋友可以參考下
    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(duì)大家的Python程序設(shè)計(jì)有所幫助。