pandas.read_spss — pandas 2.2.3 documentation (original) (raw)

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:

pathstr or Path

File path.

usecolslist-like, optional

Return a subset of the columns. If None, return all columns.

convert_categoricalsbool, 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 ArrowDtypeDataFrame.

Added in version 2.0.

Returns:

DataFrame

Examples

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