使用MySQL的Pandas 0.20.2 to_sql() [英] Pandas 0.20.2 to_sql() using MySQL

问题描述

我正在尝试将数据帧写入MySQL表，但出现(111 Connection refused)错误.

I'm trying to write a dataframe to a MySQL table but am getting a (111 Connection refused) error.

我在这里遵循了公认的答案: 使用SQLAlchemy，to_sql和熊猫一起写入MySQL数据库

I followed the accepted answer here: Writing to MySQL database with pandas using SQLAlchemy, to_sql

答案的代码:

import pandas as pd
import mysql.connector
from sqlalchemy import create_engine

engine = create_engine('mysql+mysqlconnector://[user]:[pass]@[host]:[port]/[schema]', echo=False)
data.to_sql(name='sample_table2', con=engine, if_exists = 'append', index=False)

...并且create_engine()行正常运行，但to_sql()行失败并出现以下错误:

...and the create_engine() line worked without error, but the to_sql() line failed with this error:

(mysql.connector.errors.InterfaceError) 2003: Can't connect to MySQL server on 'localhost:3306' (111 Connection refused)

我与MySQL数据库/表的连接方式并不相关，因此完全可以接受完全不同的答案，但是要给出

How I connect to my MySQL database / table is not really relevant, so completely different answers are appreciated, but given the deprecation of the MySQL 'flavor' in pandas 0.20.2, what is the proper way to write a dataframe to MySQL?

推荐答案

感谢@AndyHayden的提示，此答案是诀窍.基本上，用mysqldb代替mysqlconnector是关键.

Thanks to a tip from @AndyHayden, this answer was the trick. Basically replacing mysqlconnector with mysqldb was the linchpin.

engine = create_engine('mysql+mysqldb://[user]:[pass]@[host]:[port]/[schema]', echo = False)
df.to_sql(name = 'my_table', con = engine, if_exists = 'append', index = False)

其中[schema]是数据库名称，在我的特殊情况下，:[port]被省略，而[host]为localhost.

Where [schema] is the database name, and in my particular case, :[port] is omitted with [host] being localhost.

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