awswrangler.catalog.table(database: str, table: str, transaction_id: str | None = None, query_as_of_time: str | None = None, catalog_id: str | None = None, boto3_session: Session | None = None) DataFrame

Get table details as Pandas DataFrame.


If reading from a governed table, pass only one of transaction_id or query_as_of_time.


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.

  • database (str) – Database name.

  • table (str) – Table name.

  • transaction_id (str, optional) – The ID of the transaction (i.e. used with GOVERNED tables).

  • query_as_of_time (str, optional) – The time as of when to read the table contents. Must be a valid Unix epoch timestamp. Cannot be specified alongside transaction_id.

  • 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.


Pandas DataFrame filled by formatted table information.

Return type:



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