*jUddlmZddlmZmZmZddlZddlm Z ddl m Z ddl m Z ddlmZmZerddlmZGd d eZe d Gd d eZdZe e dGddeZe e dGddeZej0ej2eej0ej4eiZded<y)) annotations) TYPE_CHECKINGAnyClassVarN) set_module)register_extension_dtype)is_float_dtype) NumericArray NumericDtype)CallableceZdZUdZej ZejejZ e Z de d<ddZ ed dZed dZy) 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. zCallable[[Any], bool]_checkerctS)zq Return the array type associated with this dtype. Returns ------- type ) FloatingArray)selfs =C:\FundamentalWorkbench\vendor\pandas\core\arrays\floating.pyconstruct_array_typez"FloatingDtype.construct_array_type(s ctS)N)NUMPY_FLOAT_TO_DTYPE)clss r_get_dtype_mappingz FloatingDtype._get_dtype_mapping2s##rc(|j||S)z{ Safely cast the values to the given dtype. "safe" in this context means the casting is lossless. )copy)astype)rvaluesdtypers r _safe_castzFloatingDtype._safe_cast6s}}U}..rN)returnztype[FloatingArray])r dict[np.dtype, FloatingDtype])r np.ndarrayrznp.dtyperboolr r")__name__ __module__ __qualname____doc__npnan_internal_fill_valuerfloat64_default_np_dtyper r__annotations__r classmethodrrrrrrs`66 ,&4H#4$$//rrz pandas.arraysceZdZdZeZy)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 a 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 See Also -------- array : Create an array. Float32Dtype : Float32 dtype for FloatingArray. Float64Dtype : Float64 dtype for FloatingArray. Series : One-dimensional labeled array capable of holding data. DataFrame : Two-dimensional, size-mutable, potentially heterogeneous tabular data. Examples -------- Create a 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 N)r$r%r&r'r _dtype_clsr/rrrrBs?BJrra` An ExtensionDtype for {dtype} data. This dtype uses ``pd.NA`` as missing value indicator. Attributes ---------- None Methods ------- None See Also -------- CategoricalDtype : Type for categorical data with the categories and orderedness. IntegerDtype : An ExtensionDtype to hold a single size & kind of integer dtype. StringDtype : An ExtensionDtype for string data. Examples -------- For Float32Dtype: >>> ser = pd.Series([2.25, pd.NA], dtype=pd.Float32Dtype()) >>> ser.dtype Float32Dtype() For Float64Dtype: >>> ser = pd.Series([2.25, pd.NA], dtype=pd.Float64Dtype()) >>> ser.dtype Float64Dtype() pandascXeZdZUejZdZded<ejdZ y) Float32DtypeFloat32 ClassVar[str]namefloat32rN) r$r%r&r(r8typer7r-_dtype_docstringformatr'r/rrr4r4* ::D#D-#%%I%6Grr4cXeZdZUejZdZded<ejdZ y) Float64DtypeFloat64r6r7r+r9N) r$r%r&r(r+r:r7r-r;r<r'r/rrr?r?r=rr?r!r) __future__rtypingrrrnumpyr(pandas.util._decoratorsrpandas.core.dtypes.baserpandas.core.dtypes.commonr pandas.core.arrays.numericr r collections.abcr rrr;r4r?rr8r+rr-r/rrrIs" .<4 (&/L&/R OBLBBJ J H7=77  H7=77 BHHRZZ,. BHHRZZ,.73r