uj=bdZddlmZddlZddlmZmZddlZddlm Z ddl m Z ddl m Z erddlmZdd lmZdd lmZdd lmZGd d ZGddZdddf ddZGddZddZ ddZe dddZe dddZe dddZy) z accessor.py contains base classes for implementing accessor properties that can be mixed into or pinned onto other pandas classes. ) annotationsN) TYPE_CHECKINGfinal)Pandas4Warning) set_module)find_stack_level)Callable)TypeTIndex)NDFramecleZdZUeZded<eZded<eddZ ddZ d fd Z xZ S) DirNamesMixinset[str] _accessorszfrozenset[str] _hidden_attrsc4|j|jzS)z: Delete unwanted __dir__ for this object. )rr)selfs _/var/www/html/python-recuperauto-other/env/lib/python3.12/site-packages/pandas/core/accessor.py_dir_deletionszDirNamesMixin._dir_deletions$s !3!333cZ|jDchc]}t||s|c}Scc}w)z9 Add additional __dir__ for this object. )rhasattr)raccessors r_dir_additionszDirNamesMixin._dir_additions+s%*.TXGD(/ 4 4 U  rrcZeZdZdZd dZd dZd dZedddf d dZy ) PandasDelegatez@ Abstract base class for delegating methods/properties. ctd|)NzYou cannot access the property  TypeErrorrnameargskwargss r_delegate_property_getz%PandasDelegate._delegate_property_getCs9$@AArc td|d)Nz The property z cannot be setr.)rr1valuer2r3s r_delegate_property_setz%PandasDelegate._delegate_property_setFs-v^<==rctd|)NzYou cannot call method r.r0s r_delegate_methodzPandasDelegate._delegate_methodIs1$899rFc|SNxs rzPandasDelegate.Ss1rTcdfd }dfd }|D]J} |st| d|dk(r || } n|| } |s t|| r>t|| | Ly)a Add accessors to cls from the delegate class. Parameters ---------- cls Class to add the methods/properties to. delegate Class to get methods/properties and docstrings. accessors : list of str List of accessors to add. typ : {'property', 'method'} overwrite : bool, default False Overwrite the method/property in the target class if it exists. accessor_mapping: Callable, default lambda x: x Callable to map the delegate's function to the cls' function. raise_on_missing: bool, default True Raise if an accessor does not exist on delegate. False skips the missing accessor. c fd}fd}|_|_t||tjS)Nc&|jSr;)r4)rr1s r_getterz[PandasDelegate._add_delegate_accessors.._create_delegator_property.._getterls22488rc(|j|Sr;)r7)r new_valuesr1s r_setterz[PandasDelegate._add_delegate_accessors.._create_delegator_property.._setteros224DDr)fgetfsetdoc)r%propertygetattr__doc__)r1rCrFaccessor_mappingdelegates` r_create_delegator_propertyzJPandasDelegate._add_delegate_accessors.._create_delegator_propertyksI 9 E $G #G H&6t&<=EE rcht}tj|fd}|S)Nc0|jg|i|Sr;)r9)rr2r3r1s rfzSPandasDelegate._add_delegate_accessors.._create_delegator_method..f~s ,t,,TCDCFCCr)rK functoolswraps)r1methodrRrMrNs` r_create_delegator_methodzHPandasDelegate._add_delegate_accessors.._create_delegator_method{s9X'7'=>F __V $ D% DHrNrJr1str)rKrsetattr) clsrN accessorstyp overwriterMraise_on_missingrOrVr1rRs ` ` r_add_delegate_accessorsz&PandasDelegate._add_delegate_accessorsLso>    &D$H&6t&szB>:  1.add_delegate_accessorss/ ##   -- $  rr<)rNr[r\r]rMr^rhs`````` rdelegate_namesrisP   "!rceZdZdZddZdZy)Accessora Custom property-like object. A descriptor for accessors. Parameters ---------- name : str Namespace that will be accessed under, e.g. ``df.foo``. accessor : cls Class with the extension methods. Notes ----- For accessor, The class's __init__ method assumes that one of ``Series``, ``DataFrame`` or ``Index`` as the single argument ``data``. c ||_||_yr;)_name _accessor)rr1rs r__init__zAccessor.__init__s !rc@| |jS|j|Sr;)rn)robjrZs r__get__zAccessor.__get__s ;>> !~~c""rNr`)r%r&r'rLrorrr<rrrkrks&"#rrkc|dk(r-tj|dtttSt d|d)NCachedAccessorzb is deprecated and will be removed in a future version. Use pandas.core.accessor.Accessor instead. stacklevelz0module 'pandas.core.accessor' has no attribute '')warningswarnrrrkAttributeError)r1s r __getattr__r{sL  f9 9 ')   KD6QRS TTrcdfd }|S)a Register a custom accessor on objects. Parameters ---------- name : str Name under which the accessor should be registered. A warning is issued if this name conflicts with a preexisting attribute. Returns ------- callable A class decorator. See Also -------- register_dataframe_accessor : Register a custom accessor on DataFrame objects. register_series_accessor : Register a custom accessor on Series objects. register_index_accessor : Register a custom accessor on Index objects. Notes ----- This function allows you to register a custom-defined accessor class for pandas objects (DataFrame, Series, or Index). The requirements for the accessor class are as follows: * Must contain an init method that: * accepts a single object * raises an AttributeError if the object does not have correctly matching inputs for the accessor * Must contain a method for each access pattern. * The methods should be able to take any argument signature. * Accessible using the @property decorator if no additional arguments are needed. c tr.tjd|dddtt t t |jj|S)Nzregistration of accessor z under name z for type z: is overriding a preexisting attribute with the same name.ru) rrxry UserWarningrrYrkradd)rrZr1s r decoratorz%_register_accessor..decorator%sn 3  MM+H<|(*SG,01+-   T8D(34 4 r)rr r#r r<)r1rZrs`` r_register_accessorrsZ  rzpandas.api.extensionsc&ddlm}t||S)a Register a custom accessor on DataFrame objects. Use as a decorator to add a custom namespace accessor to DataFrame, allowing domain-specific methods to be called via ``df.``. Parameters ---------- name : str Name under which the accessor should be registered. A warning is issued if this name conflicts with a preexisting attribute. Returns ------- callable A class decorator. See Also -------- register_dataframe_accessor : Register a custom accessor on DataFrame objects. register_series_accessor : Register a custom accessor on Series objects. register_index_accessor : Register a custom accessor on Index objects. Notes ----- This function allows you to register a custom-defined accessor class for DataFrame. The requirements for the accessor class are as follows: * Must contain an init method that: * accepts a single DataFrame object * raises an AttributeError if the DataFrame object does not have correctly matching inputs for the accessor * Must contain a method for each access pattern. * The methods should be able to take any argument signature. * Accessible using the @property decorator if no additional arguments are needed. Examples -------- An accessor that only accepts integers could have a class defined like this: >>> @pd.api.extensions.register_dataframe_accessor("int_accessor") ... class IntAccessor: ... def __init__(self, pandas_obj): ... if not all( ... pandas_obj[col].dtype == "int64" for col in pandas_obj.columns ... ): ... raise AttributeError("All columns must contain integer values only") ... self._obj = pandas_obj ... ... def sum(self): ... return self._obj.sum() >>> df = pd.DataFrame([[1, 2], ["x", "y"]]) >>> df.int_accessor Traceback (most recent call last): ... AttributeError: All columns must contain integer values only. >>> df = pd.DataFrame([[1, 2], [3, 4]]) >>> df.int_accessor.sum() 0 4 1 6 dtype: int64 r) DataFrame)pandasrr)r1rs rregister_dataframe_accessorr5sN! dI ..rc&ddlm}t||S)a Register a custom accessor on Series objects. Use as a decorator to add a custom namespace accessor to Series, allowing domain-specific methods to be called via ``ser.``. Parameters ---------- name : str Name under which the accessor should be registered. A warning is issued if this name conflicts with a preexisting attribute. Returns ------- callable A class decorator. See Also -------- register_dataframe_accessor : Register a custom accessor on DataFrame objects. register_series_accessor : Register a custom accessor on Series objects. register_index_accessor : Register a custom accessor on Index objects. Notes ----- This function allows you to register a custom-defined accessor class for Series. The requirements for the accessor class are as follows: * Must contain an init method that: * accepts a single Series object * raises an AttributeError if the Series object does not have correctly matching inputs for the accessor * Must contain a method for each access pattern. * The methods should be able to take any argument signature. * Accessible using the @property decorator if no additional arguments are needed. Examples -------- An accessor that only accepts integers could have a class defined like this: >>> @pd.api.extensions.register_series_accessor("int_accessor") ... class IntAccessor: ... def __init__(self, pandas_obj): ... if not pandas_obj.dtype == "int64": ... raise AttributeError("The series must contain integer data only") ... self._obj = pandas_obj ... ... def sum(self): ... return self._obj.sum() >>> df = pd.Series([1, 2, "x"]) >>> df.int_accessor Traceback (most recent call last): ... AttributeError: The series must contain integer data only. >>> df = pd.Series([1, 2, 3]) >>> df.int_accessor.sum() 6 r)Series)rrr)r1rs rregister_series_accessorrsF dF ++rc&ddlm}t||S)a Register a custom accessor on Index objects. Use as a decorator to add a custom namespace accessor to Index, allowing domain-specific methods to be called via ``idx.``. Parameters ---------- name : str Name under which the accessor should be registered. A warning is issued if this name conflicts with a preexisting attribute. Returns ------- callable A class decorator. See Also -------- register_dataframe_accessor : Register a custom accessor on DataFrame objects. register_series_accessor : Register a custom accessor on Series objects. register_index_accessor : Register a custom accessor on Index objects. Notes ----- This function allows you to register a custom-defined accessor class for Index. The requirements for the accessor class are as follows: * Must contain an init method that: * accepts a single Index object * raises an AttributeError if the Index object does not have correctly matching inputs for the accessor * Must contain a method for each access pattern. * The methods should be able to take any argument signature. * Accessible using the @property decorator if no additional arguments are needed. Examples -------- An accessor that only accepts integers could have a class defined like this: >>> @pd.api.extensions.register_index_accessor("int_accessor") ... class IntAccessor: ... def __init__(self, pandas_obj): ... if not all(isinstance(x, int) for x in pandas_obj): ... raise AttributeError("The index must only be an integer value") ... self._obj = pandas_obj ... ... def even(self): ... return [x for x in self._obj if x % 2 == 0] >>> df = pd.DataFrame.from_dict( ... {"row1": {"1": 1, "2": "a"}, "row2": {"1": 2, "2": "b"}}, orient="index" ... ) >>> df.index.int_accessor Traceback (most recent call last): ... AttributeError: The index must only be an integer value. >>> df = pd.DataFrame( ... {"col1": [1, 2, 3, 4], "col2": ["a", "b", "c", "d"]}, index=[1, 2, 5, 8] ... ) >>> df.index.int_accessor.even() [2, 8] rr )rr r)r1r s rregister_index_accessorrsN dE **r) r[r$r\rXr]rbrMrcr^rbrW)r1rXrZztype[NDFrame | Index]r#Callable[[TypeT], TypeT])r1rXr#r)rL __future__rrStypingrrrx pandas.errorsrpandas.util._decoratorsrpandas.util._exceptionsrcollections.abcr pandas._typingr rr pandas.core.genericr rr,rirkr{rrrrr<rrrs#(5($+ U: :)::z #$H/%H/V #$D,%D,N #$H+%H+r