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

[vgoklani]

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)
in ()
----> 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

[jreback]

can you show a sample of the frame, as well as df.info()