50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from typing import Union
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from pyspark.sql.pandas._typing import (
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GroupedMapPandasUserDefinedFunction,
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PandasGroupedMapFunction,
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PandasCogroupedMapFunction,
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)
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from pyspark import since as since # noqa: F401
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from pyspark.rdd import PythonEvalType as PythonEvalType # noqa: F401
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from pyspark.sql.column import Column as Column # noqa: F401
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from pyspark.sql.context import SQLContext
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import pyspark.sql.group
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from pyspark.sql.dataframe import DataFrame as DataFrame
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from pyspark.sql.types import StructType
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class PandasGroupedOpsMixin:
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def cogroup(self, other: pyspark.sql.group.GroupedData) -> PandasCogroupedOps: ...
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def apply(self, udf: GroupedMapPandasUserDefinedFunction) -> DataFrame: ...
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def applyInPandas(
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self, func: PandasGroupedMapFunction, schema: Union[StructType, str]
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) -> DataFrame: ...
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class PandasCogroupedOps:
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sql_ctx: SQLContext
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def __init__(
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self, gd1: pyspark.sql.group.GroupedData, gd2: pyspark.sql.group.GroupedData
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) -> None: ...
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def applyInPandas(
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self, func: PandasCogroupedMapFunction, schema: Union[StructType, str]
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) -> DataFrame: ...
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