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DataFrame.to_sql(name, con, flavor=None, schema=None, if_exists='fail', index=True, index_label=None, chunksize=None, dtype=None)
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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?, default None
DEPRECATED: this parameter will be removed in a future version, as ?sqlite? is the only supported option if SQLAlchemy is not installed.
schema : string, default None
Specify the schema (if database flavor supports this). If None, use default schema.
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.chunksize : int, default None
If not None, then rows will be written in batches of this size at a time. If None, all rows will be written at once.
dtype : dict of column name to SQL type, default None
Optional specifying the datatype for columns. The SQL type should be a SQLAlchemy type, or a string for sqlite3 fallback connection.
DataFrame.to_sql()
2017-01-12 04:46:46
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