How to Write Pandas DataFrames to MySQL using SQLAlchemy\'s `to_sql` Method?

Writing Pandas Dataframes to MySQL using SQLAlchemy's to_sql Method

This question addresses the challenge of writing a Pandas dataframe to a MySQL table using SQLAlchemy's to_sql method. The user encountered errors when attempting to use the outdated 'flavor='mysql'' syntax and wanted to transition to using an SQLAlchemy engine.

The correct approach is to use the create_engine function from SQLAlchemy to establish a connection to the MySQL database using the mysql mysqlconnector dialect. This connection should then be passed as the con parameter to the to_sql method.

import pandas as pd
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)

Initially, the user attempted to use the raw_connection() method to obtain a connection, but it resulted in an error indicating an attempt to use SQLite instead of MySQL. By specifying the engine object directly as the con argument, the issue was resolved.

import pandas as pd
from sqlalchemy import create_engine

data.to_sql(name='sample_table2', con=engine, if_exists='append', index=False)

The user also encountered an AttributeError when trying to pass the engine as the con argument because the engine object lacks a cursor attribute. By utilizing the create_engine function to establish the MySQL connection, the appropriate connection object is provided, allowing the to_sql method to execute successfully.

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