]j{tSSKJr SSKJr SSKrSSKJr \(aSSKJr \"S5"SS55r g) ) annotations) TYPE_CHECKINGN) set_module)NDFramepandasc\rSrSr%SrS1rS\S'SSjr\SSj5r \ RSSj5r SS jr SS jr SS jr SS jrS rg)Flags u Flags that apply to pandas objects. “Flags” differ from “metadata”. Flags reflect properties of the pandas object (the Series or DataFrame). Metadata refer to properties of the dataset, and should be stored in DataFrame.attrs. Parameters ---------- obj : Series or DataFrame The object these flags are associated with. allows_duplicate_labels : bool, default True Whether to allow duplicate labels in this object. By default, duplicate labels are permitted. Setting this to ``False`` will cause an :class:`errors.DuplicateLabelError` to be raised when `index` (or columns for DataFrame) is not unique, or any subsequent operation on introduces duplicates. See :ref:`duplicates.disallow` for more. .. warning:: This is an experimental feature. Currently, many methods fail to propagate the ``allows_duplicate_labels`` value. In future versions it is expected that every method taking or returning one or more DataFrame or Series objects will propagate ``allows_duplicate_labels``. See Also -------- DataFrame.attrs : Dictionary of global attributes of this dataset. Series.attrs : Dictionary of global attributes of this dataset. Examples -------- Attributes can be set in two ways: >>> df = pd.DataFrame() >>> df.flags >>> df.flags.allows_duplicate_labels = False >>> df.flags >>> df.flags["allows_duplicate_labels"] = True >>> df.flags allows_duplicate_labelszset[str]_keyscFX l[R"U5UlgN)_allows_duplicate_labelsweakrefref_obj)selfobjr s N/home/mande/repo/quber/.venv/lib/python3.13/site-packages/pandas/core/flags.py__init__Flags.__init__?s(?%KK$ cUR$)a Whether this object allows duplicate labels. Setting ``allows_duplicate_labels=False`` ensures that the index (and columns of a DataFrame) are unique. Most methods that accept and return a Series or DataFrame will propagate the value of ``allows_duplicate_labels``. See :ref:`duplicates` for more. See Also -------- DataFrame.attrs : Set global metadata on this object. DataFrame.set_flags : Set global flags on this object. Examples -------- >>> df = pd.DataFrame({"A": [1, 2]}, index=["a", "a"]) >>> df.flags.allows_duplicate_labels True >>> df.flags.allows_duplicate_labels = False Traceback (most recent call last): ... pandas.errors.DuplicateLabelError: Index has duplicates. positions label a [0, 1] )rrs rr Flags.allows_duplicate_labelsCs<,,,rc[U5nUR5nUc [S5eU(d#URHnUR 5 M Xlg)Nz$This flag's object has been deleted.)boolr ValueErroraxes_maybe_check_uniquer)rvalueraxs rr rcsLU iik ;CD Dhh&&().%rcLXR;a [U5e[X5$r)r KeyErrorgetattr)rkeys r __getitem__Flags.__getitem__ps! jj 3- t!!rcpXR;a[SUSUR35e[XU5 g)Nz Unknown flag z. Must be one of )r rsetattr)rr&r!s r __setitem__Flags.__setitem__vs3 jj }SE1B4::,OP P5!rc"SURS3$)Nz)r rs r__repr__Flags.__repr__{s01M1M0NbQQrcj[U[U55(aURUR:H$g)NF) isinstancetyper )rothers r__eq__ Flags.__eq__~s- eT$Z ( (//53P3PP Pr)rrN)rrr rreturnNone)r6r)r!rr6r7)r&str)r&r8r6r7)r6r8)r3objectr6r)__name__ __module__ __qualname____firstlineno____doc__r __annotations__rpropertyr setterr'r+r.r4__static_attributes__rrr r s_-^11E81%-->## .$ ." " Rrr ) __future__rtypingrrpandas.util._decoratorsrpandas.core.genericrr rCrrrHs8" .+ Htttr