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SQLite，是一款轻型的数据库，是遵守ACID的关系型数据库管理系统，它包含在一个相对小的C库中。在很多嵌入式产品中使用了它，它占用资源非常的低，python 中默认继承了操作此款数据库的引擎 sqlite3 说是引擎不如说就是数据库的封装版，开发自用小程序的使用使用它真的大赞
简单操作SQLite数据库:创建 sqlite数据库是一个轻量级的数据库服务器,该模块默认集成在python中,开发小应用很不错.
import sqlite3
# 数据表的创建
conn = sqlite3.connect("data.db")
cursor = conn.cursor()
create = "create table persion("
"id int auto_increment primary key,"
"name char(20) not null,"
"age int not null,"
"msg text default null"
")"
cursor.execute(create) # 执行创建表操作
简单操作SQLite数据库:简单的插入语句的使用
insert = "insert into persion(id,name,age,msg) values(1,"lyshark",1,"hello lyshark");"
cursor.execute(insert)
insert = "insert into persion(id,name,age,msg) values(2,"guest",2,"hello guest");"
cursor.execute(insert)
insert = "insert into persion(id,name,age,msg) values(3,"admin",3,"hello admin");"
cursor.execute(insert)
insert = "insert into persion(id,name,age,msg) values(4,"wang",4,"hello wang");"
cursor.execute(insert)
insert = "insert into persion(id,name,age,msg) values(5,"sqlite",5,"hello sql");"
cursor.execute(insert)
data = [(6, "王舞",8, "python"), (7, "曲奇",8,"python"), (9, "C语言",9,"python")]
insert = "insert into persion(id,name,age,msg) values(?,?,?,?);"
cursor.executemany(insert,data)
简单的查询语句的使用
select = "select * from persion;"
cursor.execute(select)
#print(cursor.fetchall()) # 取出所有的数据
select = "select * from persion where name="lyshark";"
cursor.execute(select)
print(cursor.fetchall()) # 取出所有的数据
select = "select * from persion where id >=1 and id <=2;"
list = cursor.execute(select)
for i in list.fetchall():
print("字段1：", i[0])
print("字段2：", i[1])
简单的更新数据与删除
update = "update persion set name="苍老师" where id=1;"
cursor.execute(update)
update = "update persion set name="苍老师" where id>=1 and id<=3;"
cursor.execute(update)
delete = "delete from persion where id=3;"
cursor.execute(delete)
select = "select * from persion;"
cursor.execute(select)
print(cursor.fetchall()) # 取出所有的数据
conn.commit() # 事务提交，每执行一次数据库更改的操作，就执行提交
cursor.close()
conn.close()
SQLite小试牛刀 实现用户名密码验证,当用户输入错误密码后,自动锁定该用户1分钟.
import sqlite3
import re,time
conn = sqlite3.connect("data.db")
cursor = conn.cursor()
"""create = "create table login("
"username text not null,"
"password text not null,"
"time int default 0"
")"
cursor.execute(create)
cursor.execute("insert into login(username,password) values("admin","123123");")
cursor.execute("insert into login(username,password) values("guest","123123");")
cursor.execute("insert into login(username,password) values("lyshark","1231");")
conn.commit()"""
while True:
username = input("username:") # 这个地方应该严谨验证,尽量不要让用户拼接SQL语句
password = input("passwor:") # 此处为了方便不做任何验证(注意:永远不要相信用户的输入)
sql = "select * from login where username="{}"".format(username)
ret = cursor.execute(sql).fetchall()
if len(ret) != 0:
now_time = int(time.time())
if ret[0][3] <= now_time:
print("当前用户{}没有被限制,允许登录...".format(username))
if ret[0][0] == username:
if ret[0][1] == password:
print("用户 {} 登录成功...".format(username))
else:
print("用户 {} 密码输入有误..".format(username))
times = int(time.time()) + 60
cursor.execute("update login set time={} where username="{}"".format(times,username))
conn.commit()
else:
print("用户名正确,但是密码错误了...")
else:
print("账户 {} 还在限制登陆阶段,请等待1分钟...".format(username))
else:
print("用户名输入错误")
SQLite检索时间记录 通过编写的TimeIndex函数检索一个指定范围时间戳中的数据.
import os,time,datetime
import sqlite3
"""
conn = sqlite3.connect("data.db")
cursor = conn.cursor()
create = "create table lyshark("
"time int primary key,"
"cpu int not null"
")"
cursor.execute(create)
# 批量生成一堆数据,用于后期的测试.
for i in range(1,500):
times = int(time.time())
insert = "insert into lyshark(time,cpu) values({},{})".format(times,i)
cursor.execute(insert)
conn.commit()
time.sleep(1)"""
# db = data.db 传入数据库名称
# table = 指定表lyshark名称
# start = 2019-12-12 14:28:00
# ends = 2019-12-12 14:29:20
def TimeIndex(db,table,start,ends):
start_time = int(time.mktime(time.strptime(start,"%Y-%m-%d %H:%M:%S")))
end_time = int(time.mktime(time.strptime(ends,"%Y-%m-%d %H:%M:%S")))
conn = sqlite3.connect(db)
cursor = conn.cursor()
select = "select * from {} where time >= {} and time <= {}".format(table,start_time,end_time)
return cursor.execute(select).fetchall()
if __name__ == "__main__":
temp = TimeIndex("data.db","lyshark","2019-12-12 14:28:00","2019-12-12 14:29:00")
SQLite提取数据并绘图 通过使用matplotlib这个库函数,并提取出指定时间的数据记录,然后直接绘制曲线图.
import os,time,datetime
import sqlite3
import numpy as np
from matplotlib import pyplot as plt
def TimeIndex(db,table,start,ends):
start_time = int(time.mktime(time.strptime(start,"%Y-%m-%d %H:%M:%S")))
end_time = int(time.mktime(time.strptime(ends,"%Y-%m-%d %H:%M:%S")))
conn = sqlite3.connect(db)
cursor = conn.cursor()
select = "select * from {} where time >= {} and time <= {}".format(table,start_time,end_time)
return cursor.execute(select).fetchall()
def Display():
temp = TimeIndex("data.db","lyshark","2019-12-12 14:28:00","2019-12-12 14:29:00")
list = []
for i in range(0,len(temp)):
list.append(temp[i][1])
plt.title("CPU Count")
plt.plot(list, list)
plt.show()
if __name__ == "__main__":
Display()
文章作者：lyshark
文章出处：https://www.cnblogs.com/lyshark
以上就是Python 操作SQLite数据库的示例的详细内容，更多关于Python 操作SQLite数据库的资料请关注云海天教程其它相关文章！
原文链接：https://www.cnblogs.com/LyShark/p/12172674.html