python管理mysql

1. 方法一
pip3 config set global.index-url
https://pypi.tuna.tsinghua.edu.cn/simple
yum -y install sqlalchemy
pip3 install pandas
import pandas as pd
from sqlalchemy import create_engine
class Python_Mysql ( object ):
def init ( self ):
print ( "test" )
def getEngine ( seft ):
host = input ( "sign mysql
server host:" )
username = input ( "sign mysql
username:" )
password = input ( "sign mysql
password:" )
databasename = input ( "sign
database name:" )
port = input ( "sign mysql
port:" )
engine = create_engine ( f"mysql+pymysql:// { use
rname } : { password } @ { host } :
{ port } / { databasename } " )
return engine
def querySql ( self , conn ):
sql = input ( "sign your sql:" )
return
pd . read_sql ( sql = sql , con = conn )
if name == "main" :
demo = Python_Mysql ()
#sql=input("sign sql:")

sql="select * from user"

rs = demo . querySql ( demo . getEngine ())
print ( rs )
2. 方法二

1. 设置清华镜像站（从国内下载安装包，提高下载和安
   装速度）
2. 安装 pandas 数据分析工具 (pandas 是知名的数据分析
   工具， pandas 有完整的读取数据的工具，以及
   DateFrame 数据框架，用于保存从数据库中读取的数
   据 )
3. 安装 pymysql 连接器（ oracle 为开发者提供的 python
   管理 mysql 的工具，通过这个工具，就恶意在不替原
   有代码的情况下，应对数据库软件的升级）
   pip3 config set global.index-url
   https://pypi.tuna.tsinghua.edu.cn/simple
   yum -y install pandas
   yum -y install pymysql
   >>> import pandas as pd
   >>> import pymysql
   >>> conn = pymysql . connect (
   ... host = '10.1.1.100' ,
   ... user = 'zhangmin' ,
   ... password = 'zhangmin' ,
   ... database = 'test' ,
   ... port = 3306
   ... )
   >>> conn
   < pymysql . connections . Connection object at
   0x7f9e24ba2c88 >
   >>> cursor = conn . cursor ()
   >>> cursor
   < pymysql . cursors . Cursor object at
   0x7f9e24ba2668 >
   >>> sql = "select * from user"
   >>> cursor . excute ( sql )
   Traceback ( most recent call last ):
   File "<stdin>" , line 1 , in < module > AttributeError : 'Cursor' object has no
   attribute 'excute'
   >>> cursor . execute ( sql )
   3
   >>> cursor . description
   (( 'id' , 3 , None , 11 , 11 , 0 , False ),
   ( 'username' , 253 , None , 180 , 180 , 0 , False ),
   ( 'password' , 253 , None , 180 , 180 , 0 , False ))
   >>> desc = cursor . description
   >>> res
   3
   >>> res = cursor . fetchall ()
   >>> res
   (( 1 , 'aaa' , '123' ), ( 8 , 'baba' , 'pipi' ),
   ( 20 , 'aaaaaaaa' , 'bbbbbbbb' ))
   >>> desc
   (( 'id' , 3 , None , 11 , 11 , 0 , False ),
   ( 'username' , 253 , None , 180 , 180 , 0 , False ),
   ( 'password' , 253 , None , 180 , 180 , 0 , False ))
   >>> [ item [ 0 ] for item in desc ]

'id' , 'username' , 'password'

>>> col = [ item [ 0 ] for item in desc ]
>>> df = pd . DataFrame ( res , columns = col )
>>> df
id username password
0 1 aaa 123
1 8 baba pipi
2 20 aaaaaaaa bbbbbbbb 总结

1. 和 shell 脚本一样 python 文件也可以称为 py 脚本，也是
   将 pyhton 指令做一个集合
2. 为了脚本更加的智能化和自动化，添加选择语句（智
   能）循环语句（自动化）
3. 同时为了开发效率，可读性，做了方法，类，模块