diff --git a/doc/source/10min.rst b/doc/source/10min.rst
index cbd2f60ddbcd3..438f812039fa6 100644
--- a/doc/source/10min.rst
+++ b/doc/source/10min.rst
@@ -291,12 +291,10 @@ Using the :func:`~Series.isin` method for filtering:
 
 .. ipython:: python
 
-   df['E']=['one', 'one','two','three','four','three']
-   df
-   good_numbers=['two','four']
-   df[df['E'].isin(good_numbers)]
-
-   df.drop('E', inplace=True, axis=1)
+   df2 = df.copy()
+   df2['E']=['one', 'one','two','three','four','three']
+   df2
+   df2[df2['E'].isin(['two','four'])
 
 Setting
 ~~~~~~~
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index 75aaf68b4dd0a..187a5f5d55533 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -99,7 +99,7 @@ def _stata_elapsed_date_to_datetime(date, fmt):
     #TODO: IIRC relative delta doesn't play well with np.datetime?
     #TODO: When pandas supports more than datetime64[ns], this should be improved to use correct range, e.g. datetime[Y] for yearly
     if np.isnan(date):
-        return np.datetime64('nat')
+        return NaT
 
     date = int(date)
     stata_epoch = datetime.datetime(1960, 1, 1)
diff --git a/pandas/tseries/tests/test_timeseries.py b/pandas/tseries/tests/test_timeseries.py
index 6b235b0d6b665..0bdcff58a0b30 100644
--- a/pandas/tseries/tests/test_timeseries.py
+++ b/pandas/tseries/tests/test_timeseries.py
@@ -2705,7 +2705,7 @@ def test_class_ops(self):
         import pytz
 
         def compare(x,y):
-            self.assertEqual(int(Timestamp(x).value/1e9), int(Timestamp(y).value/1e9))
+            self.assertEqual(int(np.round(Timestamp(x).value/1e9)), int(np.round(Timestamp(y).value/1e9)))
 
         compare(Timestamp.now(),datetime.now())
         compare(Timestamp.now('UTC'),datetime.now(pytz.timezone('UTC')))