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t
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set_module)check_dtype_backend)is_list_like)stringify_path)Sequence)Path)DtypeBackend)	DataFramepandasNTc               0    V ^8  d   QhRRRRRRRRR	R
RR/# )   pathz
str | PathusecolszSequence[str] | Noneconvert_categoricalsbooldtype_backendzDtypeBackend | lib.NoDefaultkwargsr   returnr    )formats   "W/Users/mibo/.openclaw/workspace/.venv-ak/lib/python3.14/site-packages/pandas/io/spss.py__annotate__r      sL     D D
D!D D 0	D
 D D    c                :   \        R4      p\        V4       Ve(   \        V4      '       g   \        R4      h\	        V4      pVP
                  ! \        V 4      3RVRV/VB w  rgVP                  Vn        V\        P                  Jd   VP                  VR7      pV# )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

pyreadstatzusecols must be list-like.r   apply_value_formats)r   )r   r	   r
   	TypeErrorlistread_savr   __dict__attrsr   
no_defaultconvert_dtypes)r   r   r   r   r   r    dfmetadatas   &&&&,   r   	read_spssr+      s    h ,L9J&G$$899w-&&t 1 	LB   BHCNN*];Ir   )
__future__r   typingr   r   pandas._libsr   pandas.compat._optionalr   pandas.util._decoratorsr   pandas.util._validatorsr	   pandas.core.dtypes.inferencer
   pandas.io.commonr   collections.abcr   pathlibr   pandas._typingr   r   r   r'   r+   r   r   r   <module>r7      sZ    "
  > . 7 5 +(+  H %)!%25..	D Dr   