# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. from typing import Union from pyspark.sql.pandas._typing import ( GroupedMapPandasUserDefinedFunction, PandasGroupedMapFunction, PandasCogroupedMapFunction, ) from pyspark import since as since # noqa: F401 from pyspark.rdd import PythonEvalType as PythonEvalType # noqa: F401 from pyspark.sql.column import Column as Column # noqa: F401 from pyspark.sql.context import SQLContext import pyspark.sql.group from pyspark.sql.dataframe import DataFrame as DataFrame from pyspark.sql.types import StructType class PandasGroupedOpsMixin: def cogroup(self, other: pyspark.sql.group.GroupedData) -> PandasCogroupedOps: ... def apply(self, udf: GroupedMapPandasUserDefinedFunction) -> DataFrame: ... def applyInPandas( self, func: PandasGroupedMapFunction, schema: Union[StructType, str] ) -> DataFrame: ... class PandasCogroupedOps: sql_ctx: SQLContext def __init__( self, gd1: pyspark.sql.group.GroupedData, gd2: pyspark.sql.group.GroupedData ) -> None: ... def applyInPandas( self, func: PandasCogroupedMapFunction, schema: Union[StructType, str] ) -> DataFrame: ...