python3 pandas reads MySQL data and inserts-Python Tutorial-php.cn

python3 pandas reads MySQL data and inserts

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Release： 2018-04-20 13:57:38

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The following is an example of reading and inserting MySQL data with python3 pandas. It has a good reference value and I hope it will be helpful to everyone. Let’s take a look together

The python code is as follows:

# -*- coding:utf-8 -*-
import pandas as pd
import pymysql
import sys
from sqlalchemy import create_engine

def read_mysql_and_insert():
 
 try:
  conn = pymysql.connect(host=&#39;localhost&#39;,user=&#39;user1&#39;,password=&#39;123456&#39;,db=&#39;test&#39;,charset=&#39;utf8&#39;)
 except pymysql.err.OperationalError as e:
  print(&#39;Error is &#39;+str(e))
  sys.exit()
  
 try:
  engine = create_engine(&#39;mysql+pymysql://user1:123456@localhost:3306/test&#39;)
 except sqlalchemy.exc.OperationalError as e:
  print(&#39;Error is &#39;+str(e))
  sys.exit()
 except sqlalchemy.exc.InternalError as e:
  print(&#39;Error is &#39;+str(e))
  sys.exit()
  
 try: 
  sql = &#39;select * from sum_case&#39;
  df = pd.read_sql(sql, con=conn) 
 except pymysql.err.ProgrammingError as e:
  print(&#39;Error is &#39;+str(e))
  sys.exit() 

 print(df.head())
 df.to_sql(name=&#39;sum_case_1&#39;,con=engine,if_exists=&#39;append&#39;,index=False)
 conn.close()
 print(&#39;ok&#39;)
 
if __name__ == &#39;__main__&#39;: 
 df = read_mysql_and_insert()

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There are other things to note.

1) There are two tables in the test database. The table creation statements are as follows:

CREATE TABLE `sum_case` ( 
 `type_id` tinyint(2) DEFAULT NULL, 
 `type_name` varchar(5) DEFAULT NULL, 
 KEY `b` (`type_name`) 
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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CREATE TABLE `sum_case_1` ( 
 `type_id` tinyint(2) DEFAULT NULL, 
 `type_name` varchar(5) DEFAULT NULL, 
 KEY `b` (`type_name`) 
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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Insert initial data

insert into sum_case (type_id,type_name) values (1,&#39;a&#39;),(2,&#39;b&#39;),(3,&#39;c&#39;)

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2) Create user1 user

grant select, update,insert on test.* to &#39;user1&#39;@&#39;localhost&#39; identified by &#39;123456&#39;

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