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.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4