o ‡Å€g¾ã@sÂUddlmZddlmZddlZddlmZddlm Z ddl mZmZGdd„deƒZ Gd d „d eƒZdZeGdd „d e ƒƒZeGdd„de ƒƒZe ej¡eƒe ej¡eƒiZded<dS)é)Úannotations)ÚClassVarN)Úregister_extension_dtype)Úis_float_dtype)ÚNumericArrayÚNumericDtypec@sJeZdZdZe ej¡ZeZ e ddd„ƒZe ddd„ƒZe ddd„ƒZ dS)Ú 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. Úreturnútype[FloatingArray]cCótS)zq Return the array type associated with this dtype. Returns ------- type )Ú FloatingArray©Úcls©rúO/var/www/html/myenv/lib/python3.10/site-packages/pandas/core/arrays/floating.pyÚconstruct_array_types z"FloatingDtype.construct_array_typeúdict[np.dtype, FloatingDtype]cCr)N)ÚNUMPY_FLOAT_TO_DTYPEr rrrÚ_get_dtype_mapping(sz FloatingDtype._get_dtype_mappingÚvaluesú np.ndarrayÚdtypeúnp.dtypeÚcopyÚboolcCs|j||dS)z{ Safely cast the values to the given dtype. "safe" in this context means the casting is lossless. )r)Úastype)rrrrrrrÚ _safe_cast,s zFloatingDtype._safe_castN)r r )r r)rrrrrrr r)Ú__name__Ú __module__Ú__qualname__Ú__doc__ÚnprÚfloat64Ú_default_np_dtyperÚ_checkerÚclassmethodrrrrrrrrs rc@s"eZdZdZeZejZdZ dZ dS)ra± 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 gð?gN)rrrr rÚ _dtype_clsr!ÚnanÚ_internal_fill_valueÚ _truthy_valueÚ _falsey_valuerrrrr8s9raz 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() c@ó,eZdZUejZdZded<ej ddZ dS)ÚFloat32DtypeÚFloat32ú ClassVar[str]ÚnameÚfloat32©rN)rrrr!r0Útyper/Ú__annotations__Ú_dtype_docstringÚformatr rrrrr,œó r,c@r+)ÚFloat64DtypeÚFloat64r.r/r"r1N)rrrr!r"r2r/r3r4r5r rrrrr7£r6r7rr)Ú __future__rÚtypingrÚnumpyr!Úpandas.core.dtypes.baserÚpandas.core.dtypes.commonrÚpandas.core.arrays.numericrrrrr4r,r7rr0r"rr3rrrrÚs (Eþ