前言:
SQLite
属于轻型数据库,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
一、简单操作SQLite数据库
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.
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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 |
1、简单的插入语句的使用
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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) |
2、简单的查询语句的使用
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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 ]) |
二、更新数据与删除
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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() |
三、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.
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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" ) |
四、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.
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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" ) print (temp) |
五、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.
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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() |
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原文链接:https://www.cnblogs.com/LyShark/p/12172674.html