o 5c @s4UddlmZddlZddlmZddlmZddlm Z m Z Gddde Z Gdd d e Z d Z eGd d d e ZeGd dde ZeGddde ZeGddde ZeGddde ZeGddde ZeGddde ZeGddde ZeeeeeeeedZded<dS)) annotationsN)register_extension_dtype)is_integer_dtype) NumericArray NumericDtypec@sHeZdZdZeejZeZ e dddZ e ddZ e dddZ dS) IntegerDtypea& An ExtensionDtype to hold a single size & kind of integer dtype. These specific implementations are subclasses of the non-public IntegerDtype. For example we have Int8Dtype to represent signed int 8s. The attributes name & type are set when these subclasses are created. returntype[IntegerArray]cCtS)zq Return the array type associated with this dtype. Returns ------- type ) IntegerArrayclsrP/var/www/html/gps/gps/lib/python3.10/site-packages/pandas/core/arrays/integer.pyconstruct_array_types z!IntegerDtype.construct_array_typecCr )N)INT_STR_TO_DTYPEr rrr_str_to_dtype_mapping&sz"IntegerDtype._str_to_dtype_mappingvalues np.ndarraydtypenp.dtypecopyboolc Cstz |j|d|dWSty9}z$|j||d}||kr&|WYd}~Std|jdt||d}~ww)z Safely cast the values to the given dtype. "safe" in this context means the casting is lossless. e.g. if 'values' has a floating dtype, each value must be an integer. safe)castingr)rNz"cannot safely cast non-equivalent z to )astype TypeErrorallrnp)r rrrerrcastedrrr _safe_cast*s zIntegerDtype._safe_castN)rr )rrrrrrrr)__name__ __module__ __qualname____doc__rrint64_default_np_dtyper_checker classmethodrrr!rrrrrs   rc@s eZdZdZeZdZdZdZdS)r a> Array of integer (optional missing) values. .. versionchanged:: 1.0.0 Now uses :attr:`pandas.NA` as the missing value rather than :attr:`numpy.nan`. .. warning:: IntegerArray is currently experimental, and its API or internal implementation may change without warning. We represent an IntegerArray with 2 numpy arrays: - data: contains a numpy integer array of the appropriate dtype - mask: a boolean array holding a mask on the data, True is missing To construct an IntegerArray from generic array-like input, use :func:`pandas.array` with one of the integer dtypes (see examples). See :ref:`integer_na` for more. Parameters ---------- values : numpy.ndarray A 1-d integer-dtype array. mask : numpy.ndarray A 1-d boolean-dtype array indicating missing values. copy : bool, default False Whether to copy the `values` and `mask`. Attributes ---------- None Methods ------- None Returns ------- IntegerArray Examples -------- Create an IntegerArray with :func:`pandas.array`. >>> int_array = pd.array([1, None, 3], dtype=pd.Int32Dtype()) >>> int_array [1, , 3] Length: 3, dtype: Int32 String aliases for the dtypes are also available. They are capitalized. >>> pd.array([1, None, 3], dtype='Int32') [1, , 3] Length: 3, dtype: Int32 >>> pd.array([1, None, 3], dtype='UInt16') [1, , 3] Length: 3, dtype: UInt16 rN) r"r#r$r%r _dtype_cls_internal_fill_value _truthy_value _falsey_valuerrrrr >s Cr z An ExtensionDtype for {dtype} integer data. .. versionchanged:: 1.0.0 Now uses :attr:`pandas.NA` as its missing value, rather than :attr:`numpy.nan`. Attributes ---------- None Methods ------- None c@"eZdZejZdZejddZ dS) Int8DtypeInt8int8rN) r"r#r$rr2typename_dtype_docstringformatr%rrrrr0r0c@r/) Int16DtypeInt16int16r3N) r"r#r$rr;r4r5r6r7r%rrrrr9r8r9c@r/) Int32DtypeInt32int32r3N) r"r#r$rr>r4r5r6r7r%rrrrr<r8r<c@r/) Int64DtypeInt64r&r3N) r"r#r$rr&r4r5r6r7r%rrrrr?r8r?c@r/) UInt8DtypeUInt8uint8r3N) r"r#r$rrCr4r5r6r7r%rrrrrAr8rAc@r/) UInt16DtypeUInt16uint16r3N) r"r#r$rrFr4r5r6r7r%rrrrrDr8rDc@r/) UInt32DtypeUInt32uint32r3N) r"r#r$rrIr4r5r6r7r%rrrrrGr8rGc@r/) UInt64DtypeUInt64uint64r3N) r"r#r$rrLr4r5r6r7r%rrrrrJr8rJ)r2r;r>r&rCrFrIrLzdict[str, IntegerDtype]r) __future__rnumpyrpandas.core.dtypes.baserpandas.core.dtypes.commonrpandas.core.arrays.numericrrrr r6r0r9r<r?rArDrGrJr__annotations__rrrrsB  0M