45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
|
#
|
||
|
|
# 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 overload
|
||
|
|
from typing import Dict, List, Optional
|
||
|
|
|
||
|
|
from pyspark.sql._typing import LiteralType
|
||
|
|
from pyspark.sql.context import SQLContext
|
||
|
|
from pyspark.sql.column import Column
|
||
|
|
from pyspark.sql.dataframe import DataFrame
|
||
|
|
from pyspark.sql.pandas.group_ops import PandasGroupedOpsMixin
|
||
|
|
from py4j.java_gateway import JavaObject # type: ignore[import]
|
||
|
|
|
||
|
|
class GroupedData(PandasGroupedOpsMixin):
|
||
|
|
sql_ctx: SQLContext
|
||
|
|
def __init__(self, jgd: JavaObject, df: DataFrame) -> None: ...
|
||
|
|
@overload
|
||
|
|
def agg(self, *exprs: Column) -> DataFrame: ...
|
||
|
|
@overload
|
||
|
|
def agg(self, __exprs: Dict[str, str]) -> DataFrame: ...
|
||
|
|
def count(self) -> DataFrame: ...
|
||
|
|
def mean(self, *cols: str) -> DataFrame: ...
|
||
|
|
def avg(self, *cols: str) -> DataFrame: ...
|
||
|
|
def max(self, *cols: str) -> DataFrame: ...
|
||
|
|
def min(self, *cols: str) -> DataFrame: ...
|
||
|
|
def sum(self, *cols: str) -> DataFrame: ...
|
||
|
|
def pivot(
|
||
|
|
self, pivot_col: str, values: Optional[List[LiteralType]] = ...
|
||
|
|
) -> GroupedData: ...
|