MhP%SSKJr SSKJr SSKrSSKJr SSKJ r SSK J r J r "SS\ 5r "S S \ 5rS r\"S S \ 55r\"SS\ 55r\R$"\R&5\"5\R$"\R(5\"50rS\S'g)) annotations)ClassVarN)register_extension_dtype)is_float_dtype) NumericArray NumericDtypec\rSrSrSr\R "\R5r\ r \ SSj5r \ S Sj5r \ S Sj5rSrg) FloatingDtypea  An ExtensionDtype to hold a single size of floating dtype. These specific implementations are subclasses of the non-public FloatingDtype. For example we have Float32Dtype to represent float32. The attributes name & type are set when these subclasses are created. c[$)zI Return the array type associated with this dtype. Returns ------- type ) FloatingArrayclss M/var/www/html/env/lib/python3.13/site-packages/pandas/core/arrays/floating.pyconstruct_array_type"FloatingDtype.construct_array_types c[$)N)NUMPY_FLOAT_TO_DTYPErs r_get_dtype_mapping FloatingDtype._get_dtype_mapping(s##rc URX#S9$)zc Safely cast the values to the given dtype. "safe" in this context means the casting is lossless. )copy)astype)rvaluesdtypers r _safe_castFloatingDtype._safe_cast,s}}U}..rN)returnztype[FloatingArray])r dict[np.dtype, FloatingDtype])r np.ndarrayrznp.dtyperboolr r")__name__ __module__ __qualname____firstlineno____doc__nprfloat64_default_np_dtyper_checker classmethodrrr__static_attributes__rrrr r s[,H$$//rr c<\rSrSrSr\r\Rr Sr Sr Sr g)r 8a  Array of floating (optional missing) values. .. warning:: FloatingArray is currently experimental, and its API or internal implementation may change without warning. Especially the behaviour regarding NaN (distinct from NA missing values) is subject to change. We represent a FloatingArray with 2 numpy arrays: - data: contains a numpy float array of the appropriate dtype - mask: a boolean array holding a mask on the data, True is missing To construct an FloatingArray from generic array-like input, use :func:`pandas.array` with one of the float dtypes (see examples). See :ref:`integer_na` for more. Parameters ---------- values : numpy.ndarray A 1-d float-dtype array. mask : numpy.ndarray A 1-d boolean-dtype array indicating missing values. copy : bool, default False Whether to copy the `values` and `mask`. Attributes ---------- None Methods ------- None Returns ------- FloatingArray Examples -------- Create an FloatingArray with :func:`pandas.array`: >>> pd.array([0.1, None, 0.3], dtype=pd.Float32Dtype()) [0.1, , 0.3] Length: 3, dtype: Float32 String aliases for the dtypes are also available. They are capitalized. >>> pd.array([0.1, None, 0.3], dtype="Float32") [0.1, , 0.3] Length: 3, dtype: Float32 g?grN) r$r%r&r'r(r _dtype_clsr)nan_internal_fill_value _truthy_value _falsey_valuer.rrrr r 8s'7rJ66MMrr az An ExtensionDtype for {dtype} data. This dtype uses ``pd.NA`` as missing value indicator. Attributes ---------- None Methods ------- None Examples -------- For Float32Dtype: >>> ser = pd.Series([2.25, pd.NA], dtype=pd.Float32Dtype()) >>> ser.dtype Float32Dtype() For Float64Dtype: >>> ser = pd.Series([2.25, pd.NA], dtype=pd.Float64Dtype()) >>> ser.dtype Float64Dtype() cZ\rSrSr%\R rSrS\S'\ RSS9r Sr g) Float32DtypeFloat32 ClassVar[str]namefloat32rrN) r$r%r&r'r)r<typer;__annotations___dtype_docstringformatr(r.rrrr7r7( ::D#D-#%%I%6Grr7cZ\rSrSr%\R rSrS\S'\ RSS9r Sr g) Float64DtypeFloat64r:r;r*r=rN) r$r%r&r'r)r*r>r;r?r@rAr(r.rrrrDrDrBrrDr!r) __future__rtypingrnumpyr)pandas.core.dtypes.baserpandas.core.dtypes.commonrpandas.core.arrays.numericrrr r r@r7rDrr<r*rr?rrrrMs"<4 %/L%/PBLBJ>7=77 7=77HHRZZ,.HHRZZ,.73r