xorbits.pandas.read_spss#
- xorbits.pandas.read_spss(path: str | Path, usecols: Sequence[str] | None = None, convert_categoricals: bool = True, dtype_backend: DtypeBackend | lib.NoDefault = _NoDefault.no_default) DataFrame [source]#
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'}, default 'numpy_nullable') –
Back-end data type applied to the resultant
DataFrame
(still experimental). Behaviour is as follows:"numpy_nullable"
: returns nullable-dtype-backedDataFrame
(default)."pyarrow"
: returns pyarrow-backed nullableArrowDtype
DataFrame.
New in version 2.0(pandas).
- Return type
Examples
>>> df = pd.read_spss("spss_data.sav")
Warning
This method has not been implemented yet. Xorbits will try to execute it with pandas.
This docstring was copied from pandas.