diff --git a/pandas/core/strings.py b/pandas/core/strings.py
index 6d20907373014..87169a5314643 100644
--- a/pandas/core/strings.py
+++ b/pandas/core/strings.py
@@ -624,6 +624,7 @@ def str_pad(arr, width, side='left', fillchar=' '):
 
 def str_split(arr, pat=None, n=None, return_type='series'):
     """
+    Deprecated: return_types 'series', 'index', 'frame' are now deprecated 
     Split each string (a la re.split) in array by given pattern, propagating NA
     values
 
@@ -632,9 +633,9 @@ def str_split(arr, pat=None, n=None, return_type='series'):
     pat : string, default None
         String or regular expression to split on. If None, splits on whitespace
     n : int, default None (all)
-    return_type : {'series', 'index', 'frame'}, default 'series'
-        If frame, returns a DataFrame (elements are strings)
-        If series or index, returns the same type as the original object
+    return_type : {'same', 'expand'}, default 'series'
+        If expand, returns a DataFrame (elements are strings)
+        If series, index or same, returns the same type as the original object
         (elements are lists of strings).
 
     Notes
@@ -649,11 +650,14 @@ def str_split(arr, pat=None, n=None, return_type='series'):
     from pandas.core.frame import DataFrame
     from pandas.core.index import Index
 
-    if return_type not in ('series', 'index', 'frame'):
-        raise ValueError("return_type must be {'series', 'index', 'frame'}")
-    if return_type == 'frame' and isinstance(arr, Index):
+    if return_type not in ('series', 'index', 'frame', 'same', 'expand'):
+        raise ValueError("return_type must be {'series', 'index', 'frame', 'same', 'expand'}")
+    if return_type in ('frame', 'expand')  and isinstance(arr, Index):
         raise ValueError("return_type='frame' is not supported for string "
                          "methods on Index")
+    if return_type in ('series', 'index', 'frame'):
+        warnings.warn(("'series', 'index' and 'frame' are  deprecated. Please use 'same' or 'expand' instead"),
+            FutureWarning)
     if pat is None:
         if n is None or n == 0:
             n = -1
@@ -668,7 +672,7 @@ def str_split(arr, pat=None, n=None, return_type='series'):
                 n = 0
             regex = re.compile(pat)
             f = lambda x: regex.split(x, maxsplit=n)
-    if return_type == 'frame':
+    if return_type in ('frame', 'expand'):
         res = DataFrame((Series(x) for x in _na_map(f, arr)), index=arr.index)
     else:
         res = _na_map(f, arr)
diff --git a/pandas/tests/test_index.py b/pandas/tests/test_index.py
index bb75b12754dca..159635da5d505 100644
--- a/pandas/tests/test_index.py
+++ b/pandas/tests/test_index.py
@@ -1220,9 +1220,12 @@ def test_str_attribute(self):
         tm.assert_index_equal(idx.str.split(return_type='series'), expected)
         # return_type 'index' is an alias for 'series'
         tm.assert_index_equal(idx.str.split(return_type='index'), expected)
+        # return_type 'same' is an alias for 'series' and 'index'
+        tm.assert_index_equal(idx.str.split(return_type='same'), expected)
         with self.assertRaisesRegexp(ValueError, 'not supported'):
             idx.str.split(return_type='frame')
-
+        with self.assertRaisesRegexp(ValueError, 'not supported'):
+            idx.str.split(return_type='expand')
         # test boolean case, should return np.array instead of boolean Index
         idx = Index(['a1', 'a2', 'b1', 'b2'])
         expected = np.array([True, True, False, False])