j]UddlmZddlmZmZmZddlZddlm Z ddl m Z ddl m Z ddlmZmZerddlmZGd d eZe d Gd d eZdZe e dGddeZe e dGddeZejejeejejeiZded<dS)) annotations) TYPE_CHECKINGAnyClassVarN) set_module)register_extension_dtype)is_float_dtype) NumericArray NumericDtype)CallableceZdZUdZejZejejZ e Z de d<ddZ eddZeddZdS) 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]_checkerreturntype[FloatingArray]ctS)zq Return the array type associated with this dtype. Returns ------- type ) FloatingArray)selfs IC:\Projects\DSCons\.venv\Lib\site-packages\pandas\core\arrays\floating.pyconstruct_array_typez"FloatingDtype.construct_array_type(s dict[np.dtype, FloatingDtype]ctS)N)NUMPY_FLOAT_TO_DTYPE)clss r_get_dtype_mappingz FloatingDtype._get_dtype_mapping2s##rvalues np.ndarraydtypenp.dtypecopyboolc0|||S)z{ Safely cast the values to the given dtype. "safe" in this context means the casting is lossless. )r!)astype)rrrr!s r _safe_castzFloatingDtype._safe_cast6s}}U}...rN)rr)rr)rrrr r!r"rr)__name__ __module__ __qualname____doc__npnan_internal_fill_valuerfloat64_default_np_dtyper r__annotations__r classmethodrr%rrrrs6 ,,&4H4444$$$[$///[///rrz pandas.arraysceZdZdZeZdS)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_clsr1rrrrBs ??BJJJrra` 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<e dZ dS) Float32DtypeFloat32 ClassVar[str]namefloat32rN) r&r'r(r*r:typer9r/_dtype_docstringformatr)r1rrr6r6@ :D#D####%%I%66GGGrr6cXeZdZUejZdZded<e dZ dS) Float64DtypeFloat64r8r9r-r;N) r&r'r(r*r-r<r9r/r=r>r)r1rrrArAr?rrArr) __future__rtypingrrrnumpyr*pandas.util._decoratorsrpandas.core.dtypes.baserpandas.core.dtypes.commonr pandas.core.arrays.numericr r collections.abcr rrr=r6rArr:r-rr/r1rrrKsD""""""" ......<<<<<<444444 )((((((&/&/&/&/&/L&/&/&/R OBBBBBLBBBJ J H77777=777  H77777=777 BHRZ,,.. BHRZ,,..7r