Disable df.repartition

databricks/koalas/frame.py

@@ -9286,13 +9286,6 @@ def gen_names(v, curnames):
         else:
             return DataFrame(internal)
 
-    def repartition(
-        self, numPartitions: Union[int, str], index_col: Optional[Union[str, List[str]]] = None
-    ) -> "ks.DataFrame":
-        return self.spark.repartition(numPartitions, index_col)
-
-    repartition.__doc__ = SparkFrameMethods.repartition.__doc__
-
     def keys(self):
         """
         Return alias for columns.

databricks/koalas/tests/test_dataframe.py

@@ -4549,11 +4549,11 @@ def test_explain_hint(self):
     def test_repartition(self):
         kdf = ks.DataFrame({"age": [5, 5, 2, 2], "name": ["Bob", "Bob", "Alice", "Alice"]})
 
-        kdf = kdf.repartition(7)
+        kdf = kdf.spark.repartition(7)
         self.assertEqual(kdf.to_spark().rdd.getNumPartitions(), 7)
 
         kdf = kdf.set_index("age")
-        nkdf = kdf.repartition(5, "age")
+        nkdf = kdf.spark.repartition(5, "age")
         self.assertEqual(nkdf.to_spark().rdd.getNumPartitions(), 5)
         self.assertEqual(kdf.index.name, nkdf.index.name)