[SPARK-54481][SPARK-54495][SPARK-54483][TESTS][PYTHON][CONNECT] Reenable a few spark connect tests

### What changes were proposed in this pull request?

* This PR re-enables 3 tests, which only fail during the cross-version scenario: Spark Connect 4.0 client <-> 4.2 Spark Server
* We fixed these tests on the 4.0 branch separately in another PR #53250
* ‼️ This PR needs to be backported to `branch-4.1`. How can I make it possible? HyukjinKwon

### Why are the changes needed?
To regain test coverage

### Does this PR introduce _any_ user-facing change?

no

### How was this patch tested?

### Was this patch authored or co-authored using generative AI tooling?

no

Closes #53235 from xianzhe-databricks/enable-tests.

Authored-by: xianzhe-databricks <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>

Author: xianzhe-databricks

python/pyspark/pandas/tests/test_typedef.py

@@ -311,9 +311,6 @@ def f() -> ps.Series[pdf.a.dtype]:
 
         self.assertRaisesRegex(TypeError, "object.*not understood", try_infer_return_type)
 
-    @unittest.skipIf(
-        os.environ.get("SPARK_SKIP_CONNECT_COMPAT_TESTS") == "1", "SPARK-54495: To be reenabled"
-    )
     def test_as_spark_type_pandas_on_spark_dtype(self):
         type_mapper = {
             # binary

python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py

@@ -18,7 +18,6 @@
 import unittest
 import logging
 from typing import cast
-import os
 
 from pyspark.sql import functions as sf
 from pyspark.sql.functions import pandas_udf, udf
@@ -244,9 +243,6 @@ def merge_pandas(lft, rgt):
 
         self._test_merge_empty(fn=merge_pandas)
 
-    @unittest.skipIf(
-        os.environ.get("SPARK_SKIP_CONNECT_COMPAT_TESTS") == "1", "SPARK-54481: To be reenabled"
-    )
     def test_apply_in_pandas_returning_incompatible_type(self):
         with self.quiet():
             self.check_apply_in_pandas_returning_incompatible_type()

python/pyspark/sql/tests/pandas/test_pandas_map.py

@@ -273,9 +273,6 @@ def test_dataframes_with_more_columns(self):
         actual = df.repartition(1).mapInPandas(f, "id long, value long").collect()
         self.assertEqual(actual, expected)
 
-    @unittest.skipIf(
-        os.environ.get("SPARK_SKIP_CONNECT_COMPAT_TESTS") == "1", "SPARK-54483: To be reenabled"
-    )
     def test_dataframes_with_incompatible_types(self):
         with self.quiet():
             self.check_dataframes_with_incompatible_types()