@@ -5,11 +5,6 @@ from pandas.core.arrays.base import (
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ExtensionOpsMixin ,
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)
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- from pandas ._typing import (
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- Scalar ,
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- npt ,
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- )
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-
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from pandas .core .dtypes .dtypes import ExtensionDtype
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class PandasDtype (ExtensionDtype ):
@@ -30,95 +25,4 @@ class PandasDtype(ExtensionDtype):
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def itemsize (self ): ...
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class PandasArray (ExtensionArray , ExtensionOpsMixin , NDArrayOperatorsMixin ):
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- __array_priority__ : int = ...
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- def __init__ (self , values : np .ndarray | PandasArray , copy : bool = ...) -> None : ...
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- @property
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- def dtype (self ): ...
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- def __array__ (self , dtype = ...) -> np .ndarray : ...
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def __array_ufunc__ (self , ufunc , method , * inputs , ** kwargs ): ...
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- def __getitem__ (self , item ): ...
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- def __setitem__ (self , key , value ) -> None : ...
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- def __len__ (self ) -> int : ...
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- @property
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- def nbytes (self ) -> int : ...
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- def isna (self ): ...
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- def fillna (self , value = ..., method = ..., limit = ...): ...
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- def take (self , indices , allow_fill : bool = ..., fill_value = ...): ...
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- def copy (self ): ...
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- def unique (self ): ...
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- def any (self , axis = ..., out = ..., keepdims : bool = ..., skipna : bool = ...): ...
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- def all (self , axis = ..., out = ..., keepdims : bool = ..., skipna : bool = ...): ...
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- def min (self , axis = ..., out = ..., keepdims : bool = ..., skipna : bool = ...): ...
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- def max (self , axis = ..., out = ..., keepdims : bool = ..., skipna : bool = ...): ...
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- def sum (
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- self ,
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- axis = ...,
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- dtype = ...,
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- out = ...,
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- keepdims : bool = ...,
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- initial = ...,
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- skipna : bool = ...,
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- min_count : int = ...,
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- ): ...
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- def prod (
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- self ,
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- axis = ...,
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- dtype = ...,
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- out = ...,
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- keepdims : bool = ...,
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- initial = ...,
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- skipna : bool = ...,
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- min_count : int = ...,
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- ): ...
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- def mean (
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- self , axis = ..., dtype = ..., out = ..., keepdims : bool = ..., skipna : bool = ...
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- ): ...
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- def median (
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- self ,
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- axis = ...,
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- out = ...,
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- overwrite_input : bool = ...,
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- keepdims : bool = ...,
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- skipna : bool = ...,
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- ): ...
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- def std (
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- self ,
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- axis = ...,
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- dtype = ...,
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- out = ...,
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- ddof : int = ...,
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- keepdims : bool = ...,
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- skipna : bool = ...,
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- ): ...
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- def var (
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- self ,
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- axis = ...,
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- dtype = ...,
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- out = ...,
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- ddof : int = ...,
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- keepdims : bool = ...,
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- skipna : bool = ...,
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- ): ...
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- def sem (
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- self ,
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- axis = ...,
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- dtype = ...,
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- out = ...,
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- ddof : int = ...,
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- keepdims : bool = ...,
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- skipna : bool = ...,
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- ): ...
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- def kurt (
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- self , axis = ..., dtype = ..., out = ..., keepdims : bool = ..., skipna : bool = ...
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- ): ...
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- def skew (
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- self , axis = ..., dtype = ..., out = ..., keepdims : bool = ..., skipna : bool = ...
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- ): ...
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- def to_numpy (
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- self ,
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- dtype : npt .DTypeLike | None = ...,
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- copy : bool = ...,
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- na_value : Scalar = ...,
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- ) -> np .ndarray : ...
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- def searchsorted (self , value , side : str = ..., sorter = ...): ...
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- def __invert__ (self ): ...
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