diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index b07fde27db46..6f2aa1d02ed2 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -18,7 +18,6 @@
 import numpy.matrixlib as matrix
 from function_base import diff
 from numpy.lib._compiled_base import ravel_multi_index, unravel_index
-from numpy.lib.stride_tricks import as_strided
 makemat = matrix.matrix
 
 def ix_(*args):
@@ -532,20 +531,37 @@ class ndindex(object):
     (2, 1, 0)
 
     """
-    def __init__(self, *shape):
-        x = as_strided(_nx.zeros(1), shape=shape, strides=_nx.zeros_like(shape))
-        self._it = _nx.nditer(x, flags=['multi_index'], order='C')
 
-    def __iter__(self):
-        return self
+    def __init__(self, *args):
+        if len(args) == 1 and isinstance(args[0], tuple):
+            args = args[0]
+        self.nd = len(args)
+        self.ind = [0]*self.nd
+        self.index = 0
+        self.maxvals = args
+        tot = 1
+        for k in range(self.nd):
+            tot *= args[k]
+        self.total = tot
+
+    def _incrementone(self, axis):
+        if (axis < 0):  # base case
+            return
+        if (self.ind[axis] < self.maxvals[axis]-1):
+            self.ind[axis] += 1
+        else:
+            self.ind[axis] = 0
+            self._incrementone(axis-1)
 
     def ndincr(self):
         """
         Increment the multi-dimensional index by one.
 
-        This method is for backward compatibility only: do not use.
+        `ndincr` takes care of the "wrapping around" of the axes.
+        It is called by `ndindex.next` and not normally used directly.
+
         """
-        self.next()
+        self._incrementone(self.nd-1)
 
     def next(self):
         """
@@ -557,8 +573,17 @@ def next(self):
             Returns a tuple containing the indices of the current iteration.
 
         """
-        self._it.next()
-        return self._it.multi_index
+        if (self.index >= self.total):
+            raise StopIteration
+        val = tuple(self.ind)
+        self.index += 1
+        self.ndincr()
+        return val
+
+    def __iter__(self):
+        return self
+
+
 
 
 # You can do all this with slice() plus a few special objects,
diff --git a/numpy/lib/tests/test_index_tricks.py b/numpy/lib/tests/test_index_tricks.py
index 0ede40d5a337..beda2d1462b1 100644
--- a/numpy/lib/tests/test_index_tricks.py
+++ b/numpy/lib/tests/test_index_tricks.py
@@ -2,7 +2,7 @@
 import numpy as np
 from numpy import ( array, ones, r_, mgrid, unravel_index, zeros, where,
                     ndenumerate, fill_diagonal, diag_indices,
-                    diag_indices_from, s_, index_exp, ndindex )
+                    diag_indices_from, s_, index_exp )
 
 class TestRavelUnravelIndex(TestCase):
     def test_basic(self):
@@ -237,11 +237,5 @@ def test_diag_indices_from():
     assert_array_equal(c, np.arange(4))
 
 
-def test_ndindex():
-    x = list(np.ndindex(1, 2, 3))
-    expected = [ix for ix, e in np.ndenumerate(np.zeros((1, 2, 3)))]
-    assert_array_equal(x, expected)
-
-
 if __name__ == "__main__":
     run_module_suite()