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:
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 ArrowDtype DataFrame.

Added in version 2.0.

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")