diff --git a/.github/trigger_files/beam_PostCommit_XVR_Direct.json b/.github/trigger_files/beam_PostCommit_XVR_Direct.json
index 702328d16d4b..2d8ad3760b4b 100644
--- a/.github/trigger_files/beam_PostCommit_XVR_Direct.json
+++ b/.github/trigger_files/beam_PostCommit_XVR_Direct.json
@@ -1,3 +1,3 @@
 {
-  "modification": 1
+  "modification": 2
 }
diff --git a/sdks/python/apache_beam/dataframe/frames_test.py b/sdks/python/apache_beam/dataframe/frames_test.py
index 2e560c013417..8d4bb91036a1 100644
--- a/sdks/python/apache_beam/dataframe/frames_test.py
+++ b/sdks/python/apache_beam/dataframe/frames_test.py
@@ -2957,17 +2957,21 @@ def test_allow_non_parallel_nesting(self):
 
 class ConstructionTimeTest(unittest.TestCase):
   """Tests for operations that can be executed eagerly."""
-  DF = pd.DataFrame({
-      'str_col': ['foo', 'bar'] * 3,
-      'int_col': [1, 2] * 3,
-      'flt_col': [1.1, 2.2] * 3,
-      'cat_col': pd.Series(list('aabbca'), dtype="category"),
-      'datetime_col': pd.Series(
-          pd.date_range(
-              '1/1/2000', periods=6, freq='m', tz='America/Los_Angeles'))
-  })
-  DEFERRED_DF = frame_base.DeferredFrame.wrap(
-      expressions.PlaceholderExpression(DF.iloc[:0]))
+  _DF_COLUMNS = ('str_col', 'int_col', 'flt_col', 'cat_col', 'datetime_col')
+
+  @classmethod
+  def setUpClass(cls):
+    cls.DF = pd.DataFrame({
+        'str_col': ['foo', 'bar'] * 3,
+        'int_col': [1, 2] * 3,
+        'flt_col': [1.1, 2.2] * 3,
+        'cat_col': pd.Series(list('aabbca'), dtype="category"),
+        'datetime_col': pd.Series(
+            pd.date_range(
+                '1/1/2000', periods=6, freq='m', tz='America/Los_Angeles'))
+    })
+    cls.DEFERRED_DF = frame_base.DeferredFrame.wrap(
+        expressions.PlaceholderExpression(cls.DF.iloc[:0]))
 
   def _run_test(self, fn):
     expected = fn(self.DF)
@@ -2982,11 +2986,11 @@ def _run_test(self, fn):
     else:
       self.assertEqual(expected, actual)
 
-  @parameterized.expand(DF.columns)
+  @parameterized.expand(_DF_COLUMNS)
   def test_series_name(self, col_name):
     self._run_test(lambda df: df[col_name].name)
 
-  @parameterized.expand(DF.columns)
+  @parameterized.expand(_DF_COLUMNS)
   def test_series_dtype(self, col_name):
     self._run_test(lambda df: df[col_name].dtype)
     self._run_test(lambda df: df[col_name].dtypes)