OutOfBoundsDatetime converting a np datetime64[D] array to series
#### Code Sample, a copy-pastable example if possible

```python
In [37]: d
Out[37]: array(['2017-01-01', 'NaT', '-5877611-06-21'], dtype='datetime64[D]')

In [38]: pd.Series(d)
---------------------------------------------------------------------------
OutOfBoundsDatetime                       Traceback (most recent call last)
<ipython-input-38-10a0fd2c2cf9> in <module>()
----> 1 pd.Series(d)

/usr/anaconda/envs/pandas021/lib/python2.7/site-packages/pandas/core/series.pyc in __init__(self, data, index, dtype, name, copy, fastpath)
    264                                        raise_cast_failure=True)
    265 
--> 266                 data = SingleBlockManager(data, index, fastpath=True)
    267 
    268         generic.NDFrame.__init__(self, data, fastpath=True)

/usr/anaconda/envs/pandas021/lib/python2.7/site-packages/pandas/core/internals.pyc in __init__(self, block, axis, do_integrity_check, fastpath)
   4395         if not isinstance(block, Block):
   4396             block = make_block(block, placement=slice(0, len(axis)), ndim=1,
-> 4397                                fastpath=True)
   4398 
   4399         self.blocks = [block]

/usr/anaconda/envs/pandas021/lib/python2.7/site-packages/pandas/core/internals.pyc in make_block(values, placement, klass, ndim, dtype, fastpath)
   2950                      placement=placement, dtype=dtype)
   2951 
-> 2952     return klass(values, ndim=ndim, fastpath=fastpath, placement=placement)
   2953 
   2954 # TODO: flexible with index=None and/or items=None

/usr/anaconda/envs/pandas021/lib/python2.7/site-packages/pandas/core/internals.pyc in __init__(self, values, placement, fastpath, **kwargs)
   2463     def __init__(self, values, placement, fastpath=False, **kwargs):
   2464         if values.dtype != _NS_DTYPE:
-> 2465             values = tslib.cast_to_nanoseconds(values)
   2466 
   2467         super(DatetimeBlock, self).__init__(values, fastpath=True,

pandas/_libs/tslib.pyx in pandas._libs.tslib.cast_to_nanoseconds()

pandas/_libs/tslib.pyx in pandas._libs.tslib._check_dts_bounds()

OutOfBoundsDatetime: Out of bounds nanosecond timestamp: -5877611-06-21 00:00:00


```
#### Problem description

Trying to create a series from a datetime. 

I'm not sure if this is a bug, or desired behavior, and I understand that there are some bounds to pandas Timestamp. But i'm not sure what the best way to approach the issue is if I don't have the ability to control the input. I can possibly intercept the data in-flight and squash the values down between pandas.Timestamp.max and .min. But I'm hoping there is a better way.

Thanks.
