@@ -290,16 +290,16 @@ def read_json(
 
 
 def read_gbq(
-query: str,
+query_or_table: str,
 *,
 index_col: Iterable[str] | str = (),
 col_order: Iterable[str] = (),
 max_results: Optional[int] = None,
 ) -> bigframes.dataframe.DataFrame:
-_set_default_session_location_if_possible(query)
+_set_default_session_location_if_possible(query_or_table)
 return global_session.with_default_session(
 bigframes.session.Session.read_gbq,
-query,
+query_or_table,
 index_col=index_col,
 col_order=col_order,
 max_results=max_results,

@@ -262,17 +262,17 @@ def close(self):
 
 def read_gbq(
 self,
-query: str,
+query_or_table: str,
 *,
 index_col: Iterable[str] | str = (),
 col_order: Iterable[str] = (),
 max_results: Optional[int] = None,
 # Add a verify index argument that fails if the index is not unique.
 ) -> dataframe.DataFrame:
 # TODO(b/281571214): Generate prompt to show the progress of read_gbq.
-if _is_query(query):
+if _is_query(query_or_table):
 return self._read_gbq_query(
-query,
+query_or_table,
 index_col=index_col,
 col_order=col_order,
 max_results=max_results,
@@ -283,7 +283,7 @@ def read_gbq(
 # deterministic query so we can avoid serializing if we have a
 # unique index.
 return self._read_gbq_table(
-query,
+query_or_table,
 index_col=index_col,
 col_order=col_order,
 max_results=max_results,

@@ -11,7 +11,7 @@
 class GBQIOMixin:
 def read_gbq(
 self,
-query: str,
+query_or_table: str,
 *,
 index_col: Iterable[str] | str = (),
 col_order: Iterable[str] = (),
@@ -69,7 +69,7 @@ def read_gbq(
 [5 rows x 3 columns]
 
 Args:
-query (str):
+query_or_table (str):
 A SQL string to be executed or a BigQuery table to be read. The
 table must be specified in the format of
 `project.dataset.tablename` or `dataset.tablename`.