diff --git a/RELEASE.rst b/RELEASE.rst
index a33fad69fb3c1..c1fa30e23bc5a 100644
--- a/RELEASE.rst
+++ b/RELEASE.rst
@@ -201,6 +201,7 @@ pandas 0.11.0
   - Fixed missing tick bars on scatter_matrix plot (GH3063_)
   - Fixed bug in Timestamp(d,tz=foo) when d is date() rather then datetime() (GH2993_)
   - series.plot(kind='bar') now respects pylab color schem (GH3115_)
+  - Fixed bug in reshape if not passed correct input, now raises TypeError (GH2719_)
 
  .. _GH2758: https://github.com/pydata/pandas/issues/2758
 .. _GH2809: https://github.com/pydata/pandas/issues/2809
@@ -220,6 +221,7 @@ pandas 0.11.0
 .. _GH622: https://github.com/pydata/pandas/issues/622
 .. _GH797: https://github.com/pydata/pandas/issues/797
 .. _GH2681: https://github.com/pydata/pandas/issues/2681
+.. _GH2719: https://github.com/pydata/pandas/issues/2719
 .. _GH2746: https://github.com/pydata/pandas/issues/2746
 .. _GH2747: https://github.com/pydata/pandas/issues/2747
 .. _GH2751: https://github.com/pydata/pandas/issues/2751
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 0c006d4c60904..53793d503403e 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -923,6 +923,9 @@ def reshape(self, newshape, order='C'):
         """
         See numpy.ndarray.reshape
         """
+        if order not in ['C','F']:
+            raise TypeError("must specify a tuple / singular length to reshape")
+
         if isinstance(newshape, tuple) and len(newshape) > 1:
             return self.values.reshape(newshape, order=order)
         else:
diff --git a/pandas/tests/test_series.py b/pandas/tests/test_series.py
index 20c57ebbd0db6..fbbb48966f754 100644
--- a/pandas/tests/test_series.py
+++ b/pandas/tests/test_series.py
@@ -932,6 +932,10 @@ def test_reshape_non_2d(self):
         x = Series(np.random.random(201), name='x')
         self.assertRaises(TypeError, x.reshape, (len(x),))
 
+        # GH 2719
+        a = Series([1,2,3,4])
+        self.assertRaises(TypeError,a.reshape, 2, 2)
+
     def test_reshape_2d_return_array(self):
         x = Series(np.random.random(201), name='x')
         result = x.reshape((-1, 1))