docs: update bigframes.pandas.pandas docstrings

bigframes/pandas/__init__.py

@@ -163,7 +163,8 @@ def get_default_session_id() -> str:
     the table id of all temporary tables created in the global session.
 
     Returns:
-        str, the default global session id, ex. 'sessiona1b2c'
+        str:
+            The default global session id, ex. 'sessiona1b2c'
     """
     return get_global_session().session_id
 

bigframes/session/__init__.py

@@ -1370,13 +1370,14 @@ def remote_function(
                 `all`, `internal-only`, `internal-and-gclb`. See for more details
                 https://cloud.google.com/functions/docs/networking/network-settings#ingress_settings.
         Returns:
-            callable: A remote function object pointing to the cloud assets created
-            in the background to support the remote execution. The cloud assets can be
-            located through the following properties set in the object:
+            collections.abc.Callable:
+                A remote function object pointing to the cloud assets created
+                in the background to support the remote execution. The cloud assets can be
+                located through the following properties set in the object:
 
-            `bigframes_cloud_function` - The google cloud function deployed for the user defined code.
+                `bigframes_cloud_function` - The google cloud function deployed for the user defined code.
 
-            `bigframes_remote_function` - The bigquery remote function capable of calling into `bigframes_cloud_function`.
+                `bigframes_remote_function` - The bigquery remote function capable of calling into `bigframes_cloud_function`.
         """
         return self._remote_function_session.remote_function(
             input_types,
@@ -1545,12 +1546,13 @@ def read_gbq_function(
                 a pandas Series.
 
         Returns:
-            callable: A function object pointing to the BigQuery function read
-            from BigQuery.
+            collections.abc.Callable:
+                A function object pointing to the BigQuery function read
+                from BigQuery.
 
-            The object is similar to the one created by the `remote_function`
-            decorator, including the `bigframes_remote_function` property, but
-            not including the `bigframes_cloud_function` property.
+                The object is similar to the one created by the `remote_function`
+                decorator, including the `bigframes_remote_function` property, but
+                not including the `bigframes_cloud_function` property.
         """
 
         return bigframes_rf.read_gbq_function(

third_party/bigframes_vendored/pandas/core/reshape/encoding.py

@@ -113,8 +113,9 @@ def get_dummies(
         Data type for new columns. Only a single dtype is allowed.
 
     Returns:
-      DataFrame: Dummy-coded data. If data contains other columns than the
-      dummy-coded one(s), these will be prepended, unaltered, to the
-      result.
+      bigframes.pandas.DataFrame:
+        Dummy-coded data. If data contains other columns than the
+        dummy-coded one(s), these will be prepended, unaltered, to the
+        result.
     """
     raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

third_party/bigframes_vendored/pandas/core/reshape/merge.py

@@ -74,6 +74,7 @@ def merge(
             no suffix. At least one of the values must not be None.
 
     Returns:
-        bigframes.dataframe.DataFrame: A DataFrame of the two merged objects.
+        bigframes.pandas.DataFrame:
+            A DataFrame of the two merged objects.
     """
     raise NotImplementedError("abstract method")

third_party/bigframes_vendored/pandas/core/reshape/tile.py

@@ -28,6 +28,7 @@ def cut(
 
         >>> import bigframes.pandas as bpd
         >>> bpd.options.display.progress_bar = None
+
         >>> s = bpd.Series([0, 1, 5, 10])
         >>> s
         0     0
@@ -108,7 +109,8 @@ def cut(
             bins. This affects the type of the output container.
 
     Returns:
-        Series: A Series representing the respective bin for each value
+        bigframes.pandas.Series:
+            A Series representing the respective bin for each value
             of `x`. The type depends on the value of `labels`.
             sequence of scalars : returns a Series for Series `x` or a
             Categorical for all other inputs. The values stored within
@@ -140,7 +142,8 @@ def qcut(x, q, *, labels=None, duplicates="error"):
             If bin edges are not unique, raise ValueError or drop non-uniques.
 
     Returns:
-        Series: Categorical or Series of integers if labels is False
+        bigframes.pandas.Series:
+            Categorical or Series of integers if labels is False
             The return type (Categorical or Series) depends on the input: a Series
             of type category if input is a Series else Categorical. Bins are
             represented as categories when categorical data is returned.

third_party/bigframes_vendored/pandas/core/tools/datetimes.py

@@ -71,6 +71,7 @@ def to_datetime(
             float number.
 
     Returns:
-        Timestamp, datetime.datetime or bigframes.series.Series: Return type depends on input.
+        Union[pandas.Timestamp, datetime.datetime or bigframes.pandas.Series]:
+            Return type depends on input.
     """
     raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

third_party/bigframes_vendored/pandas/io/gbq.py

@@ -167,6 +167,7 @@ def read_gbq(
                 from a table.
 
         Returns:
-            bigframes.pandas.DataFrame: A DataFrame representing results of the query or table.
+            bigframes.pandas.DataFrame:
+                A DataFrame representing results of the query or table.
         """
         raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

third_party/bigframes_vendored/pandas/io/parsers/readers.py

@@ -152,7 +152,8 @@ def read_csv(
                 keyword arguments for `pandas.read_csv` when not using the BigQuery engine.
 
         Returns:
-            bigframes.pandas.DataFrame: A BigQuery DataFrames.
+            bigframes.pandas.DataFrame:
+                A BigQuery DataFrames.
 
         Raises:
             bigframes.exceptions.DefaultIndexWarning: