bigframes.pandas.from_glob_path#
- bigframes.pandas.from_glob_path(path:str,*,connection:str|None=None,name:str|None=None)→DataFrame[source]#
Create a BigFrames DataFrame that contains a BigFrames Blob column from a global wildcard path.This operation creates a temporary BQ Object Table under the hood and requires bigquery.connections.delegate permission or BigQuery Connection Admin role.If you have an existing BQ Object Table, use read_gbq_object_table().
Note
BigFrames Blob is subject to the “Pre-GA Offerings Terms” in the General Service Terms section of theService Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available “as is”and might have limited support. For more information, see the launch stage descriptions(https://cloud.google.com/products#product-launch-stages).
- Parameters:
path (str) – The wildcard global path, such as “gs://<bucket>/<folder>/*”.
connection (str orNone,default None) – Connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.<LOCATION>.<CONNECTION_ID>.If None, use default connection in session context. BigQuery DataFrame will try to create the connection and attachpermission if the connection isn’t fully set up.
name (str) – The column name of the Blob column.
- Returns:
Result BigFrames DataFrame.
- Return type: