Create Index objects even if dates are out of bounds

pandas/core/index.py

@@ -111,11 +111,16 @@ def __new__(cls, data, dtype=None, copy=False, name=None, fastpath=False,
         if isinstance(data, (np.ndarray, ABCSeries)):
             if issubclass(data.dtype.type, np.datetime64):
                 from pandas.tseries.index import DatetimeIndex
-                result = DatetimeIndex(data, copy=copy, name=name, **kwargs)
-                if dtype is not None and _o_dtype == dtype:
-                    return Index(result.to_pydatetime(), dtype=_o_dtype)
+                try:
+                    result = DatetimeIndex(data, copy=copy, name=name,
+                                           **kwargs)
+                except tslib.OutOfBoundsDatetime:
+                    pass
                 else:
-                    return result
+                    if dtype is not None and _o_dtype == dtype:
+                        return Index(result.to_pydatetime(), dtype=_o_dtype)
+                    else:
+                        return result
             elif issubclass(data.dtype.type, np.timedelta64):
                 return Int64Index(data, copy=copy, name=name)
 
@@ -154,7 +159,11 @@ def __new__(cls, data, dtype=None, copy=False, name=None, fastpath=False,
                 if (inferred.startswith('datetime') or
                         tslib.is_timestamp_array(subarr)):
                     from pandas.tseries.index import DatetimeIndex
-                    return DatetimeIndex(data, copy=copy, name=name, **kwargs)
+                    try:
+                        return DatetimeIndex(data, copy=copy, name=name,
+                                             **kwargs)
+                    except (tslib.OutOfBoundsDatetime, ValueError):
+                        pass
                 elif inferred == 'period':
                     return PeriodIndex(subarr, name=name, **kwargs)
 

pandas/tests/test_index.py

@@ -171,6 +171,20 @@ def test_constructor_from_series(self):
         result = pd.infer_freq(df['date'])
         self.assertEqual(result,'MS')
 
+    def test_constructor_out_of_bounds_datetime(self):
+        expected = np.array([datetime(1000, 1, 1)])
+        self.assert_numpy_array_equal(expected, Index(expected).values)
+        expected_list = [datetime(1000, 1, 1)]
+        self.assert_numpy_array_equal(expected, Index(expected_list).values)
+
+        _skip_if_need_numpy_1_7()
+        expected = np.array([np.datetime64(datetime(1000, 1, 1))])
+        self.assert_numpy_array_equal(expected, Index(expected).values)
+        expected_list = [np.datetime64(datetime(1000, 1, 1))]
+        print(expected.shape, Index(expected_list).values.shape)
+        print(expected.dtype, Index(expected_list).values.dtype)
+        self.assert_numpy_array_equal(expected, Index(expected_list).values)
+
     def test_index_ctor_infer_periodindex(self):
         from pandas import period_range, PeriodIndex
         xp = period_range('2012-1-1', freq='M', periods=3)