Add kwargs in docstring

airflow/hooks/dbapi_hook.py

@@ -115,6 +115,8 @@ def get_pandas_df(self, sql, parameters=None, **kwargs):
         :type sql: str or list
         :param parameters: The parameters to render the SQL query with.
         :type parameters: dict or iterable
+        :param kwargs: (optional) passed into pandas.io.sql.read_sql method
+        :type kwargs: dict
         """
         from pandas.io import sql as psql
 

airflow/providers/apache/hive/hooks/hive.py

@@ -1058,6 +1058,8 @@ def get_pandas_df(self, hql: Union[str, Text],  # type: ignore
         :type schema: str
         :param hive_conf: hive_conf to execute alone with the hql.
         :type hive_conf: dict
+        :param kwargs: (optional) passed into pandas.DataFrame constructor
+        :type kwargs: dict
         :return: result of hive execution
         :rtype: DataFrame
 

airflow/providers/exasol/hooks/exasol.py

@@ -67,6 +67,8 @@ def get_pandas_df(self, sql, parameters=None, **kwargs):
         :type sql: str or list
         :param parameters: The parameters to render the SQL query with.
         :type parameters: dict or iterable
+        :param kwargs: (optional) passed into pyexasol.ExaConnection.export_to_pandas method
+        :type kwargs: dict
         """
         with closing(self.get_conn()) as conn:
             conn.export_to_pandas(sql, query_params=parameters, **kwargs)

airflow/providers/google/cloud/hooks/bigquery.py

@@ -187,6 +187,8 @@ def get_pandas_df(
         :param dialect: Dialect of BigQuery SQL – legacy SQL or standard SQL
             defaults to use `self.use_legacy_sql` if not specified
         :type dialect: str in {'legacy', 'standard'}
+        :param kwargs: (optional) passed into pandas_gbq.read_gbq method
+        :type kwargs: dict
         """
         if dialect is None:
             dialect = 'legacy' if self.use_legacy_sql else 'standard'