docs: update supported pandas APIs documentation links

bigframes/pandas/__init__.py

@@ -28,14 +28,12 @@
 
 import bigframes._config as config
 from bigframes.core import log_adapter
-import bigframes.core.blocks
 import bigframes.core.global_session as global_session
 import bigframes.core.indexes
 from bigframes.core.reshape.api import concat, crosstab, cut, get_dummies, merge, qcut
-import bigframes.core.tools
 import bigframes.dataframe
-import bigframes.enums
 import bigframes.functions._utils as bff_utils
+from bigframes.pandas import api
 from bigframes.pandas.core.api import to_timedelta
 from bigframes.pandas.io.api import (
     _read_gbq_colab,
@@ -56,7 +54,6 @@
 import bigframes.series
 import bigframes.session
 import bigframes.session._io.bigquery
-import bigframes.session.clients
 import bigframes.version
 
 try:
@@ -410,8 +407,40 @@ def reset_session():
     from_glob_path,
 ]
 
-_function_names = [_function.__name__ for _function in _functions]
-_other_names = [
+# Use __all__ to let type checkers know what is part of the public API.
+# Note that static analysis checkers like pylance depend on these being string
+# literals, not derived at runtime.
+__all__ = [
+    # Function names
+    "clean_up_by_session_id",
+    "concat",
+    "crosstab",
+    "cut",
+    "deploy_remote_function",
+    "deploy_udf",
+    "get_default_session_id",
+    "get_dummies",
+    "merge",
+    "qcut",
+    "read_csv",
+    "read_arrow",
+    "read_gbq",
+    "_read_gbq_colab",
+    "read_gbq_function",
+    "read_gbq_model",
+    "read_gbq_object_table",
+    "read_gbq_query",
+    "read_gbq_table",
+    "read_json",
+    "read_pandas",
+    "read_parquet",
+    "read_pickle",
+    "remote_function",
+    "to_datetime",
+    "to_timedelta",
+    "from_glob_path",
+    # Other names
+    "api",
     # pandas dtype attributes
     "NA",
     "BooleanDtype",
@@ -437,9 +466,6 @@ def reset_session():
     "udf",
 ]
 
-# Use __all__ to let type checkers know what is part of the public API.
-__all__ = _function_names + _other_names
-
 _module = sys.modules[__name__]
 
 for _function in _functions:

bigframes/pandas/api/__init__.py

@@ -0,0 +1,21 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""BigQuery DataFrames public pandas APIs."""
+
+from bigframes.pandas.api import typing
+
+__all__ = [
+    "typing",
+]

bigframes/pandas/api/typing.py

@@ -0,0 +1,35 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""BigQuery DataFrames public pandas types that aren't exposed in bigframes.pandas.
+
+Note: These objects aren't intended to be constructed directly.
+"""
+
+from bigframes.core.groupby.dataframe_group_by import DataFrameGroupBy
+from bigframes.core.groupby.series_group_by import SeriesGroupBy
+from bigframes.core.window import Window
+from bigframes.operations.datetimes import DatetimeMethods
+from bigframes.operations.strings import StringMethods
+from bigframes.operations.structs import StructAccessor, StructFrameAccessor
+
+__all__ = [
+    "DataFrameGroupBy",
+    "DatetimeMethods",
+    "SeriesGroupBy",
+    "StringMethods",
+    "StructAccessor",
+    "StructFrameAccessor",
+    "Window",
+]

docs/reference/index.rst

@@ -15,6 +15,7 @@ packages.
     bigframes.exceptions
     bigframes.geopandas
     bigframes.pandas
+    bigframes.pandas.api.typing
     bigframes.streaming
 
 ML APIs

scripts/publish_api_coverage.py

@@ -35,34 +35,16 @@
 
 REPO_ROOT = pathlib.Path(__file__).parent.parent
 
-URL_PREFIX = {
-    "pandas": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.pandas#bigframes_pandas_"
-    ),
-    "dataframe": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.dataframe.DataFrame#bigframes_dataframe_DataFrame_"
-    ),
-    "dataframegroupby": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.core.groupby.DataFrameGroupBy#bigframes_core_groupby_DataFrameGroupBy_"
-    ),
-    "index": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.core.indexes.base.Index#bigframes_core_indexes_base_Index_"
-    ),
-    "series": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.series.Series#bigframes_series_Series_"
-    ),
-    "seriesgroupby": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.core.groupby.SeriesGroupBy#bigframes_core_groupby_SeriesGroupBy_"
-    ),
-    "datetimemethods": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.operations.datetimes.DatetimeMethods#bigframes_operations_datetimes_DatetimeMethods_"
-    ),
-    "stringmethods": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.operations.strings.StringMethods#bigframes_operations_strings_StringMethods_"
-    ),
-    "window": (
-        "https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.core.window.Window#bigframes_core_window_Window_"
-    ),
+BIGFRAMES_OBJECT = {
+    "pandas": "bigframes.pandas",
+    "dataframe": "bigframes.pandas.DataFrame",
+    "dataframegroupby": "bigframes.pandas.api.typing.DataFrameGroupBy",
+    "index": "bigframes.pandas.Index",
+    "series": "bigframes.pandas.Series",
+    "seriesgroupby": "bigframes.pandas.api.typing.SeriesGroupBy",
+    "datetimemethods": "bigframes.pandas.api.typing.DatetimeMethods",
+    "stringmethods": "bigframes.pandas.api.typing.StringMethods",
+    "window": "bigframes.pandas.api.typing.Window",
 }
 
 
@@ -140,7 +122,7 @@ def generate_pandas_api_coverage():
             missing_parameters = ""
 
             # skip private functions and properties
-            if member[0] == "_" and member[1] != "_":
+            if member[0] == "_":
                 continue
 
             # skip members that are also common python methods
@@ -308,11 +290,19 @@ def build_api_coverage_table(bigframes_version: str, release_version: str):
 def format_api(api_names, is_in_bigframes, api_prefix):
     api_names = api_names.str.slice(start=len(f"{api_prefix}."))
     formatted = "<code>" + api_names + "</code>"
-    url_prefix = URL_PREFIX.get(api_prefix)
-    if url_prefix is None:
+    bigframes_object = BIGFRAMES_OBJECT.get(api_prefix)
+    if bigframes_object is None:
         return formatted
 
-    linked = '<a href="' + url_prefix + api_names + '">' + formatted + "</a>"
+    linked = (
+        '<a href="https://dataframes.bigquery.dev/reference/api/'
+        + bigframes_object
+        + "."
+        + api_names
+        + '.html">'
+        + formatted
+        + "</a>"
+    )
     return formatted.mask(is_in_bigframes, linked)