[MINOR][PYTHON][TESTS] Move a test out of parity tests

### What changes were proposed in this pull request?
Move a test out of parity tests

### Why are the changes needed?
it is not tested in Spark Classic, not a parity test

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes apache#46914 from zhengruifeng/move_a_non_parity_test.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Ruifeng Zheng <ruifengz@apache.org>

python/pyspark/sql/tests/connect/test_connect_dataframe_property.py

@@ -37,6 +37,29 @@
 
 
 class SparkConnectDataFramePropertyTests(SparkConnectSQLTestCase):
+    def test_cached_property_is_copied(self):
+        schema = StructType(
+            [
+                StructField("id", IntegerType(), True),
+                StructField("name", StringType(), True),
+                StructField("age", IntegerType(), True),
+                StructField("city", StringType(), True),
+            ]
+        )
+        # Create some dummy data
+        data = [
+            (1, "Alice", 30, "New York"),
+            (2, "Bob", 25, "San Francisco"),
+            (3, "Cathy", 29, "Los Angeles"),
+            (4, "David", 35, "Chicago"),
+        ]
+        df = self.spark.createDataFrame(data, schema)
+        df_columns = df.columns
+        assert len(df.columns) == 4
+        for col in ["id", "name"]:
+            df_columns.remove(col)
+        assert len(df.columns) == 4
+
     def test_cached_schema_to(self):
         cdf = self.connect.read.table(self.tbl_name)
         sdf = self.spark.read.table(self.tbl_name)

python/pyspark/sql/tests/connect/test_parity_dataframe.py

@@ -19,37 +19,13 @@
 
 from pyspark.sql.tests.test_dataframe import DataFrameTestsMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
-from pyspark.sql.types import StructType, StructField, IntegerType, StringType
 
 
 class DataFrameParityTests(DataFrameTestsMixin, ReusedConnectTestCase):
     def test_help_command(self):
         df = self.spark.createDataFrame(data=[{"foo": "bar"}, {"foo": "baz"}])
         super().check_help_command(df)
 
-    def test_cached_property_is_copied(self):
-        schema = StructType(
-            [
-                StructField("id", IntegerType(), True),
-                StructField("name", StringType(), True),
-                StructField("age", IntegerType(), True),
-                StructField("city", StringType(), True),
-            ]
-        )
-        # Create some dummy data
-        data = [
-            (1, "Alice", 30, "New York"),
-            (2, "Bob", 25, "San Francisco"),
-            (3, "Cathy", 29, "Los Angeles"),
-            (4, "David", 35, "Chicago"),
-        ]
-        df = self.spark.createDataFrame(data, schema)
-        df_columns = df.columns
-        assert len(df.columns) == 4
-        for col in ["id", "name"]:
-            df_columns.remove(col)
-        assert len(df.columns) == 4
-
     @unittest.skip("Spark Connect does not support RDD but the tests depend on them.")
     def test_toDF_with_schema_string(self):
         super().test_toDF_with_schema_string()