swat.CAS.read_gbq

CAS.read_gbq(query, casout=None, **kwargs)

Load data from a Google BigQuery into a CAS table

This method calls pandas.read_gbq() with the given arguments, then uploads the resulting pandas.DataFrame to a CAS table.

Parameters:
query : string

SQL-like query to return data values.

casout : string or CASTable, optional
The output table specification. This includes the following parameters.
name : string, optional

Name of the output CAS table.

caslib : string, optional

CASLib for the output CAS table.

label : string, optional

The label to apply to the output CAS table.

promote : boolean, optional

If True, the output CAS table will be visible in all sessions.

replace : boolean, optional

If True, the output CAS table will replace any existing CAS. table with the same name.

**kwargs : any, optional

Keyword arguments to pandas.read_gbq().

Returns:
CASTable

See also

pandas.read_gbq()