use strict=False

pandas/tests/sparse/test_pivot.py

@@ -50,7 +50,8 @@ def test_pivot_table(self):
  # tm.assert_frame_equal(res_sparse, res_dense)
 
  @pytest.mark.xfail(not _np_version_under1p17,
- reason="failing occasionally on numpy > 1.17")
+ reason="failing occasionally on numpy > 1.17",
+ strict=False)
  def test_pivot_table_multi(self):
  res_sparse = pd.pivot_table(self.sparse, index='A', columns='B',
  values=['D', 'E'])