| # |
| # 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 Optional, Union |
| |
| from pyspark.sql.pandas._typing import DataFrameLike |
| from pyspark import since as since # noqa: F401 |
| from pyspark.rdd import RDD # noqa: F401 |
| import pyspark.sql.dataframe |
| from pyspark.sql.pandas.serializers import ( # noqa: F401 |
| ArrowCollectSerializer as ArrowCollectSerializer, |
| ) |
| from pyspark.sql.types import ( # noqa: F401 |
| BooleanType as BooleanType, |
| ByteType as ByteType, |
| DataType as DataType, |
| DoubleType as DoubleType, |
| FloatType as FloatType, |
| IntegerType as IntegerType, |
| IntegralType as IntegralType, |
| LongType as LongType, |
| ShortType as ShortType, |
| StructType as StructType, |
| TimestampType as TimestampType, |
| ) |
| from pyspark.traceback_utils import SCCallSiteSync as SCCallSiteSync # noqa: F401 |
| |
| class PandasConversionMixin: |
| def toPandas(self) -> DataFrameLike: ... |
| |
| class SparkConversionMixin: |
| @overload |
| def createDataFrame( |
| self, data: DataFrameLike, samplingRatio: Optional[float] = ... |
| ) -> pyspark.sql.dataframe.DataFrame: ... |
| @overload |
| def createDataFrame( |
| self, |
| data: DataFrameLike, |
| schema: Union[StructType, str], |
| verifySchema: bool = ..., |
| ) -> pyspark.sql.dataframe.DataFrame: ... |