[SPARK-41412][CONNECT][FOLLOW-UP] Fix test_cast to pass with ANSI mode on

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

@@ -145,29 +145,33 @@ def test_literal_integers(self):
             cdf.select(CF.lit(JVM_LONG_MIN - 1)).show()
 
     def test_cast(self):
+        # SPARK-41412: test basic Column.cast
         df = self.connect.read.table(self.tbl_name)
         df2 = self.spark.read.table(self.tbl_name)
 
         self.assert_eq(
             df.select(df.id.cast("string")).toPandas(), df2.select(df2.id.cast("string")).toPandas()
         )
 
-        for x in [
-            StringType(),
-            BinaryType(),
-            ShortType(),
-            IntegerType(),
-            LongType(),
-            FloatType(),
-            DoubleType(),
-            ByteType(),
-            DecimalType(10, 2),
-            BooleanType(),
-            DayTimeIntervalType(),
-        ]:
-            self.assert_eq(
-                df.select(df.id.cast(x)).toPandas(), df2.select(df2.id.cast(x)).toPandas()
-            )
+        # Test if the arguments can be passed properly.
+        # Do not need to check individual behaviour for the ANSI mode thoroughly.
+        with self.sql_conf({"spark.sql.ansi.enabled": False}):
+            for x in [
+                StringType(),
+                BinaryType(),
+                ShortType(),
+                IntegerType(),
+                LongType(),
+                FloatType(),
+                DoubleType(),
+                ByteType(),
+                DecimalType(10, 2),
+                BooleanType(),
+                DayTimeIntervalType(),
+            ]:
+                self.assert_eq(
+                    df.select(df.id.cast(x)).toPandas(), df2.select(df2.id.cast(x)).toPandas()
+                )
 
     def test_unsupported_functions(self):
         # SPARK-41225: Disable unsupported functions.