mirror of
https://github.com/wassname/pandas-ta.git
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62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
# -*- coding: utf-8 -*-
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from decimal import Decimal
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from functools import partial
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from pathlib import Path
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from typing import *
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from numpy import argmax, argmin, nan, ndarray, recarray, void
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from numpy import bool_ as np_bool_
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from numpy import floating as np_floating
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from numpy import generic as np_generic
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from numpy import integer as np_integer
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from numpy import number as np_number
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from pandas import DataFrame, Series
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from sys import float_info as sflt
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# Generic types
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T = TypeVar("T")
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# Scalars
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Scalar = Union[str, float, int, complex, bool, object, np_generic]
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Number = Union[int, float, complex, np_number, np_bool_]
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Int = Union[int, np_integer]
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Float = Union[float, np_floating]
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IntFloat = Union[Int, Float]
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# Basic sequences
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MaybeTuple = Union[T, Tuple[T, ...]]
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MaybeList = Union[T, List[T]]
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TupleList = Union[List[T], Tuple[T, ...]]
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MaybeTupleList = Union[T, List[T], Tuple[T, ...]]
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MaybeIterable = Union[T, Iterable[T]]
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MaybeSequence = Union[T, Sequence[T]]
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ListStr = List[str]
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DictLike = Union[None, dict]
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DictLikeSequence = MaybeSequence[DictLike]
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Args = Tuple[Any, ...]
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ArgsLike = Union[None, Args]
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Kwargs = Dict[str, Any]
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KwargsLike = Union[None, Kwargs]
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KwargsLikeSequence = MaybeSequence[KwargsLike]
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FileName = Union[str, Path]
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DTypeLike = Any
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PandasDTypeLike = Any
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Shape = Tuple[int, ...]
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RelaxedShape = Union[int, Shape]
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Array = ndarray
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Array1d = ndarray
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Array2d = ndarray
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Array3d = ndarray
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Record = void
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RecordArray = ndarray
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RecArray = recarray
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MaybeArray = Union[T, Array]
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SeriesFrame = Union[Series, DataFrame]
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MaybeSeries = Union[T, Series]
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MaybeSeriesFrame = Union[T, Series, DataFrame]
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AnyArray = Union[Array, Series, DataFrame]
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AnyArray1d = Union[Array1d, Series]
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AnyArray2d = Union[Array2d, DataFrame] |