Python 如何将数据插入MySQL数据库？

我想在MySQL数据库中插入整数188和90，但以下代码不起作用：

import MySQLdb
conn = MySQLdb.connect(host= "localhost",
                  user="root",
                  passwd="newpassword",
                  db="engy1")
x = conn.cursor()
x.execute("SELECT *  FROM anooog1")
x.execute (" INSERT INTO anooog1 VALUES ('%s','%s') ", (188,90))
row = x.fetchall()

为什么不起作用

#Server Connection to MySQL:

import MySQLdb
conn = MySQLdb.connect(host= "localhost",
                  user="root",
                  passwd="newpassword",
                  db="engy1")
x = conn.cursor()

try:
   x.execute("""INSERT INTO anooog1 VALUES (%s,%s)""",(188,90))
   conn.commit()
except:
   conn.rollback()

conn.close()

编辑为我工作：

>>> import MySQLdb
>>> #connect to db
... db = MySQLdb.connect("localhost","root","password","testdb" )
>>> 
>>> #setup cursor
... cursor = db.cursor()
>>> 
>>> #create anooog1 table
... cursor.execute("DROP TABLE IF EXISTS anooog1")
__main__:2: Warning: Unknown table 'anooog1'
0L
>>> 
>>> sql = """CREATE TABLE anooog1 (
...          COL1 INT,  
...          COL2 INT )"""
>>> cursor.execute(sql)
0L
>>> 
>>> #insert to table
... try:
...     cursor.execute("""INSERT INTO anooog1 VALUES (%s,%s)""",(188,90))
...     db.commit()
... except:     
...     db.rollback()
... 
1L
>>> #show table
... cursor.execute("""SELECT * FROM anooog1;""")
1L
>>> print cursor.fetchall()
((188L, 90L),)
>>> 
>>> db.close()

mysql中的表

mysql> use testdb;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A

Database changed
mysql> SELECT * FROM anooog1;
+------+------+
| COL1 | COL2 |
+------+------+
|  188 |   90 |
+------+------+
1 row in set (0.00 sec)

mysql> 

下面是OOP：

---

在使用python脚本向MySql表添加随机数据时，这种方法对我很有效。
首先使用以下命令安装以下软件包

pip install mysql-connector-python<br>
pip install random

下面是插入的示例输出

cid       |  name      |  email           |    address        |  dateJoined  |

1         | customer1  |  customer_email1 | customer_address1 |  2020-11-15  |
2         | customer2  |  customer_email2 | customer_address2 |  2020-10-11  |
3         | customer3  |  customer_email3 | customer_address3 |  2020-11-17  |
4         | customer4  |  customer_email4 | customer_address4 |  2020-09-20  |
5         | customer5  |  customer_email5 | customer_address5 |  2020-02-18  |
6         | customer6  |  customer_email6 | customer_address6 |  2020-01-11  |
7         | customer7  |  customer_email7 | customer_address7 |  2020-05-30  |
8         | customer8  |  customer_email8 | customer_address8 |  2020-04-22  |
9         | customer9  |  customer_email9 | customer_address9 |  2020-01-05  |
10        | customer10 |  customer_email10| customer_address10|  2020-11-12  |

---

当您尝试运行此程序时，是否会收到错误消息？如果是的话，请把它包括在你的问题中。没有错误，我只需要知道如何使用python@Joja你的桌子看起来像什么？同时删除围绕您的值的

“

。its和int表由两列组成。问题是它是否与u一起工作！！！它能插入mysql吗？！！这两个附加值？？？三重双引号（

“”“

），为什么？导入错误：没有名为MySQLdb的模块，带有pip安装：没有找到与MySQLdb匹配的发行版为什么是三重双引号？

import mysql.connector
import random

from datetime import date


start_dt = date.today().replace(day=1, month=1).toordinal()
end_dt = date.today().toordinal()

mydb = mysql.connector.connect(
    host="localhost",
    user="root",
    password="root",
    database="your_db_name"
)

mycursor = mydb.cursor()

sql_insertion = "INSERT INTO customer (name,email,address,dateJoined) VALUES (%s, %s,%s, %s)"
#insert 10 records(rows)
for x in range(1,11):
    #generate a random date
    random_day = date.fromordinal(random.randint(start_dt, end_dt))
    value = ("customer" + str(x),"customer_email" + str(x),"customer_address" + str(x),random_day)
    mycursor.execute(sql_insertion , value)

mydb.commit()

print("customer records inserted!")

cid       |  name      |  email           |    address        |  dateJoined  |

1         | customer1  |  customer_email1 | customer_address1 |  2020-11-15  |
2         | customer2  |  customer_email2 | customer_address2 |  2020-10-11  |
3         | customer3  |  customer_email3 | customer_address3 |  2020-11-17  |
4         | customer4  |  customer_email4 | customer_address4 |  2020-09-20  |
5         | customer5  |  customer_email5 | customer_address5 |  2020-02-18  |
6         | customer6  |  customer_email6 | customer_address6 |  2020-01-11  |
7         | customer7  |  customer_email7 | customer_address7 |  2020-05-30  |
8         | customer8  |  customer_email8 | customer_address8 |  2020-04-22  |
9         | customer9  |  customer_email9 | customer_address9 |  2020-01-05  |
10        | customer10 |  customer_email10| customer_address10|  2020-11-12  |