BUG: Ensure read_spss accepts pathlib Paths (GH33666)

Author: drmrd

doc/source/whatsnew/v1.1.2.rst

@@ -41,6 +41,7 @@ Bug fixes
 - Bug in :meth:`Series.dt.isocalendar` and :meth:`DatetimeIndex.isocalendar` that returned incorrect year for certain dates (:issue:`36032`)
 - Bug in :class:`DataFrame` indexing returning an incorrect :class:`Series` in some cases when the series has been altered and a cache not invalidated (:issue:`33675`)
 - Bug in :meth:`DataFrame.corr` causing subsequent indexing lookups to be incorrect (:issue:`35882`)
+- Bug in :func:`read_spss` where passing a ``pathlib.Path`` as ``path`` would raise a ``TypeError`` (:issue:`33666`)
 
 .. ---------------------------------------------------------------------------
 
@@ -50,6 +51,7 @@ Other
 ~~~~~
 - :meth:`factorize` now supports ``na_sentinel=None`` to include NaN in the uniques of the values and remove ``dropna`` keyword which was unintentionally exposed to public facing API in 1.1 version from :meth:`factorize` (:issue:`35667`)
 
+
 .. ---------------------------------------------------------------------------
 
 .. _whatsnew_112.contributors:

pandas/io/spss.py

@@ -7,6 +7,8 @@
 
 from pandas.core.api import DataFrame
 
+from pandas.io.common import stringify_path
+
 
 def read_spss(
     path: Union[str, Path],
@@ -40,6 +42,6 @@ def read_spss(
             usecols = list(usecols)  # pyreadstat requires a list
 
     df, _ = pyreadstat.read_sav(
-        path, usecols=usecols, apply_value_formats=convert_categoricals
+        stringify_path(path), usecols=usecols, apply_value_formats=convert_categoricals
     )
     return df

pandas/tests/io/test_spss.py

@@ -1,3 +1,5 @@
+from pathlib import Path
+
 import numpy as np
 import pytest
 
@@ -71,3 +73,13 @@ def test_spss_usecols(datapath):
 
     with pytest.raises(TypeError, match="usecols must be list-like."):
         pd.read_spss(fname, usecols="VAR00002")
+
+
+def test_can_read_spss_file_from_local_path_as_string(datapath):
+    sav_path = datapath("io", "data", "spss", "labelled-num.sav")
+    pd.read_spss(sav_path)
+
+
+def test_can_read_spss_file_from_local_path_as_pathlib_path(datapath):
+    sav_path = Path(datapath("io", "data", "spss", "labelled-num.sav"))
+    pd.read_spss(sav_path)