| # |
| # 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. |
| # |
| import datetime |
| import decimal |
| from typing import Any, Tuple, TypeVar, Union, TYPE_CHECKING |
| |
| import numpy as np |
| from pandas.api.extensions import ExtensionDtype |
| |
| if TYPE_CHECKING: |
| from pyspark.pandas.base import IndexOpsMixin # noqa: F401 (SPARK-34943) |
| from pyspark.pandas.frame import DataFrame # noqa: F401 (SPARK-34943) |
| from pyspark.pandas.generic import Frame # noqa: F401 (SPARK-34943) |
| from pyspark.pandas.indexes.base import Index # noqa: F401 (SPARK-34943) |
| from pyspark.pandas.series import Series # noqa: F401 (SPARK-34943) |
| |
| |
| # TypeVars |
| T = TypeVar("T") |
| |
| FrameLike = TypeVar("FrameLike", bound="Frame") |
| IndexOpsLike = TypeVar("IndexOpsLike", bound="IndexOpsMixin") |
| |
| # Type aliases |
| Scalar = Union[ |
| int, float, bool, str, bytes, decimal.Decimal, datetime.date, datetime.datetime, None |
| ] |
| |
| # TODO: use the actual type parameters. |
| Label = Tuple[Any, ...] |
| Name = Union[Any, Label] |
| |
| Axis = Union[int, str] |
| Dtype = Union[np.dtype, ExtensionDtype] |
| |
| DataFrameOrSeries = Union["DataFrame", "Series"] |
| SeriesOrIndex = Union["Series", "Index"] |