pandas.read_spss

pandas.read_spss(path, usecols=None, convert_categoricals=True, dtype_backend=<no_default>)[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-backed DataFrame (default).

• "pyarrow": returns pyarrow-backed nullable ArrowDtype DataFrame.

Added in version 2.0.

Returns:

DataFrame

Examples

>>> df = pd.read_spss("spss_data.sav")