From 0f4c3825b628109c8badf9d1546c5f00d207c6b5 Mon Sep 17 00:00:00 2001
From: Dan Moore <9156191+drmrd@users.noreply.github.com>
Date: Sun, 13 Sep 2020 16:29:41 -0400
Subject: [PATCH] Backport PR #36174: BUG: Ensure read_spss accepts pathlib
 Paths (GH33666)

---
 doc/source/whatsnew/v1.1.3.rst | 1 +
 pandas/io/spss.py              | 4 +++-
 pandas/tests/io/test_spss.py   | 7 +++++--
 3 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/doc/source/whatsnew/v1.1.3.rst b/doc/source/whatsnew/v1.1.3.rst
index d789518f93f6d..8e283aec39786 100644
--- a/doc/source/whatsnew/v1.1.3.rst
+++ b/doc/source/whatsnew/v1.1.3.rst
@@ -26,6 +26,7 @@ Fixed regressions
 
 Bug fixes
 ~~~~~~~~~
+- Bug in :func:`read_spss` where passing a ``pathlib.Path`` as ``path`` would raise a ``TypeError`` (:issue:`33666`)
 - Bug in :meth:`Series.str.startswith` and :meth:`Series.str.endswith` with ``category`` dtype not propagating ``na`` parameter (:issue:`36241`)
 - Bug in :class:`Series` constructor where integer overflow would occur for sufficiently large scalar inputs when an index was provided (:issue:`36291`)
 
diff --git a/pandas/io/spss.py b/pandas/io/spss.py
index 9605faeb36590..79cdfbf15392a 100644
--- a/pandas/io/spss.py
+++ b/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
diff --git a/pandas/tests/io/test_spss.py b/pandas/tests/io/test_spss.py
index 013f56f83c5ec..a4894ff66ab9f 100644
--- a/pandas/tests/io/test_spss.py
+++ b/pandas/tests/io/test_spss.py
@@ -1,3 +1,5 @@
+from pathlib import Path
+
 import numpy as np
 import pytest
 
@@ -7,9 +9,10 @@
 pyreadstat = pytest.importorskip("pyreadstat")
 
 
-def test_spss_labelled_num(datapath):
+@pytest.mark.parametrize("path_klass", [lambda p: p, Path])
+def test_spss_labelled_num(path_klass, datapath):
     # test file from the Haven project (https://haven.tidyverse.org/)
-    fname = datapath("io", "data", "spss", "labelled-num.sav")
+    fname = path_klass(datapath("io", "data", "spss", "labelled-num.sav"))
 
     df = pd.read_spss(fname, convert_categoricals=True)
     expected = pd.DataFrame({"VAR00002": "This is one"}, index=[0])