add back filterwarnings for spss cython issue

Author: jorisvandenbossche

pandas/tests/io/test_spss.py

@@ -11,6 +11,9 @@
 pyreadstat = pytest.importorskip("pyreadstat")
 
 
+# TODO(CoW) - detection of chained assignment in cython
+# https://github.com/pandas-dev/pandas/issues/51315
+@pytest.mark.filterwarnings("ignore::pandas.errors.ChainedAssignmentError")
 @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/)
@@ -27,6 +30,7 @@ def test_spss_labelled_num(path_klass, datapath):
     tm.assert_frame_equal(df, expected)
 
 
+@pytest.mark.filterwarnings("ignore::pandas.errors.ChainedAssignmentError")
 def test_spss_labelled_num_na(datapath):
     # test file from the Haven project (https://haven.tidyverse.org/)
     # Licence at LICENSES/HAVEN_LICENSE, LICENSES/HAVEN_MIT
@@ -42,6 +46,7 @@ def test_spss_labelled_num_na(datapath):
     tm.assert_frame_equal(df, expected)
 
 
+@pytest.mark.filterwarnings("ignore::pandas.errors.ChainedAssignmentError")
 def test_spss_labelled_str(datapath):
     # test file from the Haven project (https://haven.tidyverse.org/)
     # Licence at LICENSES/HAVEN_LICENSE, LICENSES/HAVEN_MIT
@@ -57,6 +62,7 @@ def test_spss_labelled_str(datapath):
     tm.assert_frame_equal(df, expected)
 
 
+@pytest.mark.filterwarnings("ignore::pandas.errors.ChainedAssignmentError")
 def test_spss_kwargs(datapath):
     # test file from the Haven project (https://haven.tidyverse.org/)
     # Licence at LICENSES/HAVEN_LICENSE, LICENSES/HAVEN_MIT
@@ -71,6 +77,7 @@ def test_spss_kwargs(datapath):
     tm.assert_frame_equal(df, expected)
 
 
+@pytest.mark.filterwarnings("ignore::pandas.errors.ChainedAssignmentError")
 def test_spss_umlauts(datapath):
     # test file from the Haven project (https://haven.tidyverse.org/)
     # Licence at LICENSES/HAVEN_LICENSE, LICENSES/HAVEN_MIT
@@ -128,6 +135,7 @@ def test_invalid_dtype_backend():
         pd.read_spss("test", dtype_backend="numpy")
 
 
+@pytest.mark.filterwarnings("ignore::pandas.errors.ChainedAssignmentError")
 def test_spss_metadata(datapath):
     # GH 54264
     fname = datapath("io", "data", "spss", "labelled-num.sav")