ValueError: Values falls after last bin   when Resampling using pd.tseries.offsets.Nano as period
I have a timeseries in dataframe named dfi with non-eqispaced times as index

```
print dfi.value
print
print "len "+ str(len(dfi))
```

Output:

```
datetime
2015-10-01 13:58:10.427   -10.072100
2015-10-01 13:58:11.419   -10.072100
2015-10-01 13:58:12.417   -10.072100
2015-10-01 13:58:13.420   -10.072100
2015-10-01 13:58:14.426   -10.072100
2015-10-01 13:58:15.427   -10.072100
2015-10-01 13:58:16.418   -10.072100
2015-10-01 13:58:17.418    -9.753230
2015-10-01 13:58:18.416    -9.753230
2015-10-01 13:58:19.428    -9.753230
2015-10-01 13:58:20.427    -9.753230
2015-10-01 13:58:21.419    -9.753230
2015-10-01 13:58:22.416    -9.753230
2015-10-01 13:58:23.429    -9.753230
2015-10-01 13:58:24.416    -9.753230
2015-10-01 13:58:25.428    -9.753230
2015-10-01 13:58:26.418    -9.753230
2015-10-01 13:58:27.416    -9.396140
2015-10-01 13:58:28.416    -9.396140
2015-10-01 13:58:29.429    -9.396140
2015-10-01 13:58:32.416    -9.396140
2015-10-01 13:58:33.427    -9.396140
2015-10-01 13:58:34.428    -9.396140
2015-10-01 13:58:35.462    -9.396140
2015-10-01 13:58:36.416    -9.396140
2015-10-01 13:58:37.427    -9.010000
2015-10-01 13:58:38.428    -9.010000
2015-10-01 13:58:39.435    -9.010000
2015-10-01 13:58:40.437    -9.010000
2015-10-01 13:58:41.416    -9.010000
                             ...    
2015-10-03 23:59:28.052    -0.759718
2015-10-03 23:59:29.040    -0.759718
2015-10-03 23:59:30.048    -0.759718
2015-10-03 23:59:31.048    -0.759718
2015-10-03 23:59:32.060    -0.759718
2015-10-03 23:59:33.049    -0.759718
2015-10-03 23:59:34.051    -0.759718
2015-10-03 23:59:35.041    -0.759718
2015-10-03 23:59:36.061    -0.759718
2015-10-03 23:59:37.059    -1.010490
2015-10-03 23:59:38.040    -1.010490
2015-10-03 23:59:39.051    -1.010490
2015-10-03 23:59:40.040    -1.010490
2015-10-03 23:59:41.072    -1.010490
2015-10-03 23:59:42.049    -1.010490
2015-10-03 23:59:43.038    -1.010490
2015-10-03 23:59:44.040    -1.010490
2015-10-03 23:59:45.040    -1.010490
2015-10-03 23:59:48.049    -1.133730
2015-10-03 23:59:49.049    -1.133730
2015-10-03 23:59:50.048    -1.133730
2015-10-03 23:59:52.050    -1.133730
2015-10-03 23:59:53.050    -1.133730
2015-10-03 23:59:54.059    -1.133730
2015-10-03 23:59:55.049    -1.133730
2015-10-03 23:59:56.041    -1.133730
2015-10-03 23:59:59.039    -1.296430
2015-10-04 00:00:00.050    -1.296430
2015-10-04 00:00:01.060    -1.296430
2015-10-04 00:00:02.040    -1.296430
Name: value, dtype: float64
```

I get an error when running this code:

```
print period_seconds
period_nanos=int(period_seconds*(10**9))
print period_nanos
res= dfi.value.resample(pd.tseries.offsets.Nano(period_nanos), how=[np.min, np.max,'mean'])
```

Output + error:

```
4.035752
4035751999

ValueError                                Traceback (most recent call last)
<ipython-input-14-92e377227823> in <module>()
      5     period_nanos=int(period_seconds*(10**9))
      6     print period_nanos
----> 7     res= dfi.value.resample(pd.tseries.offsets.Nano(period_nanos), how=[np.min, np.max,'mean'])
      8 
      9     nullrows=pd.isnull(res).any(1).nonzero()[0]

C:\Users\USER1\Anaconda2\lib\site-packages\pandas\core\generic.pyc in resample(self, rule, how, axis, fill_method, closed, label, convention, kind, loffset, limit, base)
   3641                               fill_method=fill_method, convention=convention,
   3642                               limit=limit, base=base)
-> 3643         return sampler.resample(self).__finalize__(self)
   3644 
   3645     def first(self, offset):

C:\Users\USER1\Anaconda2\lib\site-packages\pandas\tseries\resample.pyc in resample(self, obj)
     80 
     81         if isinstance(ax, DatetimeIndex):
---> 82             rs = self._resample_timestamps()
     83         elif isinstance(ax, PeriodIndex):
     84             offset = to_offset(self.freq)

C:\Users\USER1\Anaconda2\lib\site-packages\pandas\tseries\resample.pyc in _resample_timestamps(self, kind)
    274         axlabels = self.ax
    275 
--> 276         self._get_binner_for_resample(kind=kind)
    277         grouper = self.grouper
    278         binner = self.binner

C:\Users\USER1\Anaconda2\lib\site-packages\pandas\tseries\resample.pyc in _get_binner_for_resample(self, kind)
    118             kind = self.kind
    119         if kind is None or kind == 'timestamp':
--> 120             self.binner, bins, binlabels = self._get_time_bins(ax)
    121         elif kind == 'timedelta':
    122             self.binner, bins, binlabels = self._get_time_delta_bins(ax)

C:\Users\USER1\Anaconda2\lib\site-packages\pandas\tseries\resample.pyc in _get_time_bins(self, ax)
    179 
    180         # general version, knowing nothing about relative frequencies
--> 181         bins = lib.generate_bins_dt64(ax_values, bin_edges, self.closed, hasnans=ax.hasnans)
    182 
    183         if self.closed == 'right':

pandas\lib.pyx in pandas.lib.generate_bins_dt64 (pandas\lib.c:20875)()

ValueError: Values falls after last bin
```

packages versions:

```
import pip
installed_packages = pip.get_installed_distributions()
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
     for i in installed_packages])
for i in installed_packages_list:
    print i
```

Output:

```
alabaster==0.7.6
anaconda-client==1.2.1
argcomplete==1.0.0
astropy==1.1.1
babel==2.1.1
backports-abc==0.4
backports.ssl-match-hostname==3.4.0.2
beautifulsoup4==4.4.1
bitarray==0.8.1
blaze==0.9.0
bokeh==0.11.0
boto==2.38.0
bottleneck==1.0.0
cdecimal==2.3
cffi==1.2.1
clyent==1.2.0
colorama==0.3.3
comtypes==1.1.2
conda-build==1.18.2
conda-env==2.4.5
conda==3.19.0
configobj==5.0.6
cryptography==0.9.1
cycler==0.9.0
cython==0.23.4
cytoolz==0.7.4
datashape==0.5.0
decorator==4.0.6
docutils==0.12
enum34==1.1.2
et-xmlfile==1.0.1
fastcache==1.0.2
flask==0.10.1
funcsigs==0.4
futures==3.0.3
gevent-websocket==0.9.3
gevent==1.0.1
greenlet==0.4.9
grin==1.2.1
h5py==2.5.0
idna==2.0
ipaddress==1.0.14
ipykernel==4.1.1
ipython-genutils==0.1.0
ipython==4.0.1
ipywidgets==4.1.0
itsdangerous==0.24
jdcal==1.2
jedi==0.9.0
jinja2==2.8
jsonschema==2.4.0
jupyter-client==4.1.1
jupyter-console==4.0.3
jupyter-core==4.0.6
jupyter==1.0.0
llvmlite==0.8.0
lxml==3.5.0
markupsafe==0.23
matplotlib==1.5.1
menuinst==1.3.2
mistune==0.7.1
multipledispatch==0.4.8
nbconvert==4.1.0
nbformat==4.0.1
networkx==1.10
nltk==3.1
nose==1.3.7
notebook==4.1.0
numba==0.22.1
numexpr==2.4.6
numpy==1.10.1
odo==0.4.0
openpyxl==2.3.2
pandas==0.17.1
path.py==0.0.0
patsy==0.4.0
pep8==1.6.2
pickleshare==0.5
pillow==3.0.0
pip==7.1.2
ply==3.8
psutil==3.2.2
py==1.4.30
pyasn1==0.1.9
pycosat==0.6.1
pycparser==2.14
pycrypto==2.6.1
pycurl==7.19.5.3
pyflakes==1.0.0
pygments==2.0.2
pyopenssl==0.15.1
pyparsing==2.0.3
pyreadline==2.1
pytest==2.8.1
python-dateutil==2.4.2
pytz==2015.7
pywin32==219
pyyaml==3.11
pyzmq==15.2.0
qtconsole==4.1.1
requests==2.9.0
rope==0.9.4
scikit-image==0.11.3
scikit-learn==0.17
scipy==0.16.0
setuptools==19.1.1
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.10.0
snowballstemmer==1.2.0
sockjs-tornado==1.0.1
sphinx-rtd-theme==0.1.7
sphinx==1.3.1
spyder==2.3.8
sqlalchemy==1.0.11
statsmodels==0.6.1
sympy==0.7.6.1
tables==3.2.2
toolz==0.7.4
tornado==4.3
traitlets==4.0.0
ujson==1.33
unicodecsv==0.14.1
werkzeug==0.11.3
wheel==0.26.0
xlrd==0.9.4
xlsxwriter==0.7.7
xlwings==0.6.1
xlwt==1.0.0
```
