awswrangler.catalog.table

awswrangler.catalog.table(database: str, table: str, catalog_id: Optional[str] = None, boto3_session: Optional[boto3.session.Session] = None) Any

Get table details as Pandas DataFrame.

Note

This function has arguments which can be configured globally through wr.config or environment variables:

  • catalog_id

  • database

Check out the Global Configurations Tutorial for details.

Parameters
  • database (str) – Database name.

  • table (str) – Table name.

  • catalog_id (str, optional) – The ID of the Data Catalog from which to retrieve Databases. If none is provided, the AWS account ID is used by default.

  • boto3_session (boto3.Session(), optional) – Boto3 Session. The default boto3 session will be used if boto3_session receive None.

Returns

Pandas DataFrame filled by formatted infos.

Return type

pandas.DataFrame

Examples

>>> import awswrangler as wr
>>> df_table = wr.catalog.table(database='default', table='my_table')