這篇文章主要介紹了python操作sqlite的CRUD實現(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]))

希望本文所述對大家的Python程序設計有所幫助。

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