pandas.Series.to_sql

Series.to_sql(name, con, flavor='sqlite', if_exists='fail', index=True, index_label=None)

Write records stored in a DataFrame to a SQL database.

Parameters :

name : string

Name of SQL table

con : SQLAlchemy engine or DBAPI2 connection (legacy mode)

Using SQLAlchemy makes it possible to use any DB supported by that library. If a DBAPI2 object, only sqlite3 is supported.

flavor : {‘sqlite’, ‘mysql’}, default ‘sqlite’

The flavor of SQL to use. Ignored when using SQLAlchemy engine. ‘mysql’ is deprecated and will be removed in future versions, but it will be further supported through SQLAlchemy engines.

if_exists : {‘fail’, ‘replace’, ‘append’}, default ‘fail’

• fail: If table exists, do nothing.
• replace: If table exists, drop it, recreate it, and insert data.
• append: If table exists, insert data. Create if does not exist.

index : boolean, default True

Write DataFrame index as a column.

index_label : string or sequence, default None

Column label for index column(s). If None is given (default) and index is True, then the index names are used. A sequence should be given if the DataFrame uses MultiIndex.