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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: ...