python3 pandas reads MySQL data and inserts
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:
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# -*- 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='localhost',user='user1',password='123456',db='test',charset='utf8') except pymysql.err.OperationalError as e: print('Error is '+str(e)) sys.exit() try: engine = create_engine('mysql+pymysql://user1:123456@localhost:3306/test') except sqlalchemy.exc.OperationalError as e: print('Error is '+str(e)) sys.exit() except sqlalchemy.exc.InternalError as e: print('Error is '+str(e)) sys.exit() try: sql = 'select * from sum_case' df = pd.read_sql(sql, con=conn) except pymysql.err.ProgrammingError as e: print('Error is '+str(e)) sys.exit() print(df.head()) df.to_sql(name='sum_case_1',con=engine,if_exists='append',index=False) conn.close() print('ok') if __name__ == '__main__': df = read_mysql_and_insert()
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;
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;
insert into sum_case (type_id,type_name) values (1,'a'),(2,'b'),(3,'c')
2) Create user1 user
grant select, update,insert on test.* to 'user1'@'localhost' identified by '123456'
Python extracts the specified location record method after groupby grouping
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