Pandas 0.20.2 to_sql() using MySQL

Question

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

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

Answer's code:

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)

...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)

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?

Solution

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)

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

Comments

[JD Nayak]

Putting it here so that other people can avoid: On @elPastor answer engine = create_engine('mysql+mysqldb://root:password@localhost:3306/‌​mydbname', echo = False)