.ik ddlmZddlmZmZddlmZddlmZddl m Z ddl m Z ddl mZddlmZerdd lmZdd lmZdd lmZdd lmZe d ddej2f ddZy)) annotations) TYPE_CHECKINGAny)lib)import_optional_dependency) set_module)check_dtype_backend) is_list_like)stringify_path)Sequence)Path) DtypeBackend) DataFramepandasNTc &td}t||!t|s tdt |}|j t |f||d|\}}|j|_|tjur|j|}|S)a 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.)usecolsapply_value_formats) dtype_backend) rr r TypeErrorlistread_savr __dict__attrsr no_defaultconvert_dtypes)pathrconvert_categoricalsrkwargsrdfmetadatas L/var/www/app/trading-bot/venv/lib/python3.12/site-packages/pandas/io/spss.py read_spssr#sh,L9J &G$89 9w-&:&&t0  LB   BHCNN*   ]  ; I) rz str | PathrzSequence[str] | NonerboolrzDtypeBackend | lib.NoDefaultrrreturnr) __future__rtypingrr pandas._libsrpandas.compat._optionalrpandas.util._decoratorsrpandas.util._validatorsr pandas.core.dtypes.inferencer pandas.io.commonr collections.abcr pathlibr pandas._typingrrrrr#r$r"r3s" >.75+(+  H%)!%25.. D D !DD0 D  D  DDr$