+ NV-jk ^RIHt^RIHtHt^RIHt^RIHt^RI H t ^RI H t ^RI Ht^RIHt]'d^R IHt^R IHt^R IHt^R IHt] !R 4RR]P23RRll4tR#)) annotations) TYPE_CHECKINGAny)lib)import_optional_dependency) set_module)check_dtype_backend) is_list_like)stringify_path)Sequence)Path) DtypeBackend) DataFramepandasNTc 0V^8dQhRRRRRRRRR R R R /#) pathz str | PathusecolszSequence[str] | Noneconvert_categoricalsbool dtype_backendzDtypeBackend | lib.NoDefaultkwargsrreturnr)formats"_/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/pandas/io/spss.py __annotate__rsLDD D !DD0 D  D  Dc :\R4p\V4Ve(\V4'g \R4h\ V4pVP !\ V43RVRV/VBwrgVPVnV\PJdVPVR7pV#)aY Load an SPSS file from the file path, returning a DataFrame. Parameters ---------- path : str or Path File path. usecols : list-like, optional Return a subset of the columns. If None, return all columns. convert_categoricals : bool, default is True Convert categorical columns into pd.Categorical. dtype_backend : {'numpy_nullable', 'pyarrow'} Back-end data type applied to the resultant :class:`DataFrame` (still experimental). If not specified, the default behavior is to not use nullable data types. If specified, the behavior is as follows: * ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame` * ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype` :class:`DataFrame` .. versionadded:: 2.0 **kwargs Additional keyword arguments that can be passed to :func:`pyreadstat.read_sav`. .. versionadded:: 3.0 Returns ------- DataFrame DataFrame based on the SPSS file. See Also -------- read_csv : Read a comma-separated values (csv) file into a pandas DataFrame. read_excel : Read an Excel file into a pandas DataFrame. read_sas : Read an SAS file into a pandas DataFrame. read_orc : Load an ORC object into a pandas DataFrame. read_feather : Load a feather-format object into a pandas DataFrame. Examples -------- >>> df = pd.read_spss("spss_data.sav") # doctest: +SKIP pyreadstatzusecols must be list-like.rapply_value_formats)r) rr r TypeErrorlistread_savr __dict__attrsr no_defaultconvert_dtypes)rrrrrr dfmetadatas&&&&, r read_spssr+sh,L9J &G$$89 9w-&&t1  LB   BHCNN*   ]  ; Ir) __future__rtypingrr pandas._libsrpandas.compat._optionalrpandas.util._decoratorsrpandas.util._validatorsr pandas.core.dtypes.inferencer pandas.io.commonr collections.abcr pathlibr pandas._typingrrrr'r+rrrr7sZ" >.75+(+  H%)!%25.. DDr