Cannot infer dst time from Timestamp('2015-11-01 01:00:10'), try using the 'ambiguous' argument
running pandas 0.17, and getting this error when generating a csv, traceback is below. What exactly does "try using the ambigous argument mean"?

df.to_csv("VIP_data.csv", encoding="utf-8", index=False)

---

AmbiguousTimeError                        Traceback (most recent call last)
<ipython-input-24-222761ffc778> in <module>()
----> 1 df.to_csv("VIP_data.csv", encoding="utf-8", index=False)

/opt/anaconda/lib/python2.7/site-packages/pandas/core/frame.pyc in to_csv(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, quoting, quotechar, line_terminator, chunksize, tupleize_cols, date_format, doublequote, escapechar, decimal, **kwds)
   1287                                      escapechar=escapechar,
   1288                                      decimal=decimal)
-> 1289         formatter.save()
   1290 
   1291         if path_or_buf is None:

/opt/anaconda/lib/python2.7/site-packages/pandas/core/format.pyc in save(self)
   1492 
   1493             else:
-> 1494                 self._save()
   1495 
   1496         finally:

/opt/anaconda/lib/python2.7/site-packages/pandas/core/format.pyc in _save(self)
   1592                 break
   1593 
-> 1594             self._save_chunk(start_i, end_i)
   1595 
   1596     def _save_chunk(self, start_i, end_i):

/opt/anaconda/lib/python2.7/site-packages/pandas/core/format.pyc in _save_chunk(self, start_i, end_i)
   1607                                   decimal=self.decimal,
   1608                                   date_format=self.date_format,
-> 1609                                   quoting=self.quoting)
   1610 
   1611             for col_loc, col in zip(b.mgr_locs, d):

/opt/anaconda/lib/python2.7/site-packages/pandas/core/internals.pyc in to_native_types(self, slicer, na_rep, date_format, quoting, **kwargs)
   1999 
   2000         from pandas.core.format import _get_format_datetime64_from_values
-> 2001         format = _get_format_datetime64_from_values(values, date_format)
   2002 
   2003         result = tslib.format_array_from_datetime(values.view('i8').ravel(),

/opt/anaconda/lib/python2.7/site-packages/pandas/core/format.pyc in _get_format_datetime64_from_values(values, date_format)
   2189 def _get_format_datetime64_from_values(values, date_format):
   2190     """ given values and a date_format, return a string format """
-> 2191     is_dates_only = _is_dates_only(values)
   2192     if is_dates_only:
   2193         return date_format or "%Y-%m-%d"

/opt/anaconda/lib/python2.7/site-packages/pandas/core/format.pyc in _is_dates_only(values)
   2143 def _is_dates_only(values):
   2144     # return a boolean if we are only dates (and don't have a timezone)
-> 2145     values = DatetimeIndex(values)
   2146     if values.tz is not None:
   2147         return False

/opt/anaconda/lib/python2.7/site-packages/pandas/util/decorators.pyc in wrapper(_args, *_kwargs)
     87                 else:
     88                     kwargs[new_arg_name] = new_arg_value
---> 89             return func(_args, *_kwargs)
     90         return wrapper
     91     return _deprecate_kwarg

/opt/anaconda/lib/python2.7/site-packages/pandas/tseries/index.pyc in **new**(cls, data, freq, start, end, periods, copy, name, tz, verify_integrity, normalize, closed, ambiguous, dtype, **kwargs)
    342                     ints = subarr.view('i8')
    343                     subarr = tslib.tz_localize_to_utc(ints, tz,
--> 344                                                       ambiguous=ambiguous)
    345 
    346                 subarr = subarr.view(_NS_DTYPE)

pandas/tslib.pyx in pandas.tslib.tz_localize_to_utc (pandas/tslib.c:64516)()

AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01 01:00:10'), try using the 'ambiguous' argument
