ENH: add fold support to Timestamp constructor (#31563)

Author: AlexKirko

Diff for: doc/source/user_guide/timeseries.rst

@@ -2297,6 +2297,35 @@ To remove time zone information, use ``tz_localize(None)`` or ``tz_convert(None)
    # tz_convert(None) is identical to tz_convert('UTC').tz_localize(None)
    didx.tz_convert('UTC').tz_localize(None)
 
+.. _timeseries.fold:
+
+Fold
+~~~~
+
+.. versionadded:: 1.1.0
+
+For ambiguous times, pandas supports explicitly specifying the keyword-only fold argument.
+Due to daylight saving time, one wall clock time can occur twice when shifting
+from summer to winter time; fold describes whether the datetime-like corresponds
+to the first (0) or the second time (1) the wall clock hits the ambiguous time.
+Fold is supported only for constructing from naive ``datetime.datetime``
+(see `datetime documentation <https://docs.python.org/3/library/datetime.html>`__ for details) or from :class:`Timestamp`
+or for constructing from components (see below). Only ``dateutil`` timezones are supported
+(see `dateutil documentation <https://dateutil.readthedocs.io/en/stable/tz.html#dateutil.tz.enfold>`__
+for ``dateutil`` methods that deal with ambiguous datetimes) as ``pytz``
+timezones do not support fold (see `pytz documentation <http://pytz.sourceforge.net/index.html>`__
+for details on how ``pytz`` deals with ambiguous datetimes). To localize an ambiguous datetime
+with ``pytz``, please use :meth:`Timestamp.tz_localize`. In general, we recommend to rely
+on :meth:`Timestamp.tz_localize` when localizing ambiguous datetimes if you need direct
+control over how they are handled.
+
+.. ipython:: python
+
+   pd.Timestamp(datetime.datetime(2019, 10, 27, 1, 30, 0, 0),
+                tz='dateutil/Europe/London', fold=0)
+   pd.Timestamp(year=2019, month=10, day=27, hour=1, minute=30,
+                tz='dateutil/Europe/London', fold=1)
+
 .. _timeseries.timezone_ambiguous:
 
 Ambiguous times when localizing

Diff for: doc/source/whatsnew/v1.1.0.rst

@@ -36,6 +36,28 @@ For example:
    ser["2014"]
    ser.loc["May 2015"]
 
+.. _whatsnew_110.timestamp_fold_support:
+
+Fold argument support in Timestamp constructor
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+:class:`Timestamp:` now supports the keyword-only fold argument according to `PEP 495 <https://www.python.org/dev/peps/pep-0495/#the-fold-attribute>`_ similar to parent ``datetime.datetime`` class. It supports both accepting fold as an initialization argument and inferring fold from other constructor arguments (:issue:`25057`, :issue:`31338`). Support is limited to ``dateutil`` timezones as ``pytz`` doesn't support fold.
+
+For example:
+
+.. ipython:: python
+
+    ts = pd.Timestamp("2019-10-27 01:30:00+00:00")
+    ts.fold
+
+.. ipython:: python
+
+    ts = pd.Timestamp(year=2019, month=10, day=27, hour=1, minute=30,
+                      tz="dateutil/Europe/London", fold=1)
+    ts
+
+For more on working with fold, see :ref:`Fold subsection <timeseries.fold>` in the user guide.
+
 .. _whatsnew_110.enhancements.other:
 
 Other enhancements

Diff for: pandas/_libs/tslib.pyx

@@ -49,30 +49,31 @@ from pandas._libs.tslibs.tzconversion cimport (
 
 cdef inline object create_datetime_from_ts(
         int64_t value, npy_datetimestruct dts,
-        object tz, object freq):
+        object tz, object freq, bint fold):
     """ convenience routine to construct a datetime.datetime from its parts """
     return datetime(dts.year, dts.month, dts.day, dts.hour,
-                    dts.min, dts.sec, dts.us, tz)
+                    dts.min, dts.sec, dts.us, tz, fold=fold)
 
 
 cdef inline object create_date_from_ts(
         int64_t value, npy_datetimestruct dts,
-        object tz, object freq):
+        object tz, object freq, bint fold):
     """ convenience routine to construct a datetime.date from its parts """
+    # GH 25057 add fold argument to match other func_create signatures
     return date(dts.year, dts.month, dts.day)
 
 
 cdef inline object create_time_from_ts(
         int64_t value, npy_datetimestruct dts,
-        object tz, object freq):
+        object tz, object freq, bint fold):
     """ convenience routine to construct a datetime.time from its parts """
-    return time(dts.hour, dts.min, dts.sec, dts.us, tz)
+    return time(dts.hour, dts.min, dts.sec, dts.us, tz, fold=fold)
 
 
 @cython.wraparound(False)
 @cython.boundscheck(False)
 def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
-                       str box="datetime"):
+                       bint fold=0, str box="datetime"):
     """
     Convert an i8 repr to an ndarray of datetimes, date, time or Timestamp
 
@@ -83,6 +84,13 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
          convert to this timezone
     freq : str/Offset, default None
          freq to convert
+    fold : bint, default is 0
+        Due to daylight saving time, one wall clock time can occur twice
+        when shifting from summer to winter time; fold describes whether the
+        datetime-like corresponds  to the first (0) or the second time (1)
+        the wall clock hits the ambiguous time
+
+        .. versionadded:: 1.1.0
     box  : {'datetime', 'timestamp', 'date', 'time'}, default 'datetime'
          If datetime, convert to datetime.datetime
          If date, convert to datetime.date
@@ -104,7 +112,7 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
         str typ
         int64_t value, delta, local_value
         ndarray[object] result = np.empty(n, dtype=object)
-        object (*func_create)(int64_t, npy_datetimestruct, object, object)
+        object (*func_create)(int64_t, npy_datetimestruct, object, object, bint)
 
     if box == "date":
         assert (tz is None), "tz should be None when converting to date"
@@ -129,7 +137,7 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
                 result[i] = <object>NaT
             else:
                 dt64_to_dtstruct(value, &dts)
-                result[i] = func_create(value, dts, tz, freq)
+                result[i] = func_create(value, dts, tz, freq, fold)
     elif is_tzlocal(tz):
         for i in range(n):
             value = arr[i]
@@ -141,7 +149,7 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
                 # using the i8 representation.
                 local_value = tz_convert_utc_to_tzlocal(value, tz)
                 dt64_to_dtstruct(local_value, &dts)
-                result[i] = func_create(value, dts, tz, freq)
+                result[i] = func_create(value, dts, tz, freq, fold)
     else:
         trans, deltas, typ = get_dst_info(tz)
 
@@ -155,7 +163,7 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
                 else:
                     # Adjust datetime64 timestamp, recompute datetimestruct
                     dt64_to_dtstruct(value + delta, &dts)
-                    result[i] = func_create(value, dts, tz, freq)
+                    result[i] = func_create(value, dts, tz, freq, fold)
 
         elif typ == 'dateutil':
             # no zone-name change for dateutil tzs - dst etc
@@ -168,7 +176,7 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
                     # Adjust datetime64 timestamp, recompute datetimestruct
                     pos = trans.searchsorted(value, side='right') - 1
                     dt64_to_dtstruct(value + deltas[pos], &dts)
-                    result[i] = func_create(value, dts, tz, freq)
+                    result[i] = func_create(value, dts, tz, freq, fold)
         else:
             # pytz
             for i in range(n):
@@ -182,7 +190,7 @@ def ints_to_pydatetime(const int64_t[:] arr, object tz=None, object freq=None,
                     new_tz = tz._tzinfos[tz._transition_info[pos]]
 
                     dt64_to_dtstruct(value + deltas[pos], &dts)
-                    result[i] = func_create(value, dts, new_tz, freq)
+                    result[i] = func_create(value, dts, new_tz, freq, fold)
 
     return result
 

Diff for: pandas/_libs/tslibs/conversion.pxd

@@ -12,6 +12,7 @@ cdef class _TSObject:
         npy_datetimestruct dts      # npy_datetimestruct
         int64_t value               # numpy dt64
         object tzinfo
+        bint fold
 
 
 cdef convert_to_tsobject(object ts, object tz, object unit,

Diff for: pandas/_libs/tslibs/conversion.pyx

@@ -39,7 +39,8 @@ from pandas._libs.tslibs.nattype cimport (
 
 from pandas._libs.tslibs.tzconversion import (
     tz_localize_to_utc, tz_convert_single)
-from pandas._libs.tslibs.tzconversion cimport _tz_convert_tzlocal_utc
+from pandas._libs.tslibs.tzconversion cimport (
+    _tz_convert_tzlocal_utc, _tz_convert_tzlocal_fromutc)
 
 # ----------------------------------------------------------------------
 # Constants
@@ -215,6 +216,11 @@ cdef class _TSObject:
     #    npy_datetimestruct dts      # npy_datetimestruct
     #    int64_t value               # numpy dt64
     #    object tzinfo
+    #    bint fold
+
+    def __cinit__(self):
+        # GH 25057. As per PEP 495, set fold to 0 by default
+        self.fold = 0
 
     @property
     def value(self):
@@ -322,6 +328,7 @@ cdef _TSObject convert_datetime_to_tsobject(datetime ts, object tz,
     cdef:
         _TSObject obj = _TSObject()
 
+    obj.fold = ts.fold
     if tz is not None:
         tz = maybe_get_tz(tz)
 
@@ -380,6 +387,8 @@ cdef _TSObject create_tsobject_tz_using_offset(npy_datetimestruct dts,
         _TSObject obj = _TSObject()
         int64_t value  # numpy dt64
         datetime dt
+        ndarray[int64_t] trans
+        int64_t[:] deltas
 
     value = dtstruct_to_dt64(&dts)
     obj.dts = dts
@@ -389,10 +398,23 @@ cdef _TSObject create_tsobject_tz_using_offset(npy_datetimestruct dts,
         check_overflows(obj)
         return obj
 
+    # Infer fold from offset-adjusted obj.value
+    # see PEP 495 https://www.python.org/dev/peps/pep-0495/#the-fold-attribute
+    if is_utc(tz):
+        pass
+    elif is_tzlocal(tz):
+        _tz_convert_tzlocal_fromutc(obj.value, tz, &obj.fold)
+    else:
+        trans, deltas, typ = get_dst_info(tz)
+
+        if typ == 'dateutil':
+            pos = trans.searchsorted(obj.value, side='right') - 1
+            obj.fold = _infer_tsobject_fold(obj, trans, deltas, pos)
+
     # Keep the converter same as PyDateTime's
     dt = datetime(obj.dts.year, obj.dts.month, obj.dts.day,
                   obj.dts.hour, obj.dts.min, obj.dts.sec,
-                  obj.dts.us, obj.tzinfo)
+                  obj.dts.us, obj.tzinfo, fold=obj.fold)
     obj = convert_datetime_to_tsobject(
         dt, tz, nanos=obj.dts.ps // 1000)
     return obj
@@ -543,7 +565,7 @@ cdef inline void localize_tso(_TSObject obj, tzinfo tz):
     elif obj.value == NPY_NAT:
         pass
     elif is_tzlocal(tz):
-        local_val = _tz_convert_tzlocal_utc(obj.value, tz, to_utc=False)
+        local_val = _tz_convert_tzlocal_fromutc(obj.value, tz, &obj.fold)
         dt64_to_dtstruct(local_val, &obj.dts)
     else:
         # Adjust datetime64 timestamp, recompute datetimestruct
@@ -562,6 +584,8 @@ cdef inline void localize_tso(_TSObject obj, tzinfo tz):
             # i.e. treat_tz_as_dateutil(tz)
             pos = trans.searchsorted(obj.value, side='right') - 1
             dt64_to_dtstruct(obj.value + deltas[pos], &obj.dts)
+            # dateutil supports fold, so we infer fold from value
+            obj.fold = _infer_tsobject_fold(obj, trans, deltas, pos)
         else:
             # Note: as of 2018-07-17 all tzinfo objects that are _not_
             # either pytz or dateutil have is_fixed_offset(tz) == True,
@@ -571,6 +595,45 @@ cdef inline void localize_tso(_TSObject obj, tzinfo tz):
     obj.tzinfo = tz
 
 
+cdef inline bint _infer_tsobject_fold(_TSObject obj, ndarray[int64_t] trans,
+                                      int64_t[:] deltas, int32_t pos):
+    """
+    Infer _TSObject fold property from value by assuming 0 and then setting
+    to 1 if necessary.
+
+    Parameters
+    ----------
+    obj : _TSObject
+    trans : ndarray[int64_t]
+        ndarray of offset transition points in nanoseconds since epoch.
+    deltas : int64_t[:]
+        array of offsets corresponding to transition points in trans.
+    pos : int32_t
+        Position of the last transition point before taking fold into account.
+
+    Returns
+    -------
+    bint
+        Due to daylight saving time, one wall clock time can occur twice
+        when shifting from summer to winter time; fold describes whether the
+        datetime-like corresponds  to the first (0) or the second time (1)
+        the wall clock hits the ambiguous time
+
+    References
+    ----------
+    .. [1] "PEP 495 - Local Time Disambiguation"
+           https://www.python.org/dev/peps/pep-0495/#the-fold-attribute
+    """
+    cdef:
+        bint fold = 0
+
+    if pos > 0:
+        fold_delta = deltas[pos - 1] - deltas[pos]
+        if obj.value - fold_delta < trans[pos]:
+            fold = 1
+
+    return fold
+
 cdef inline datetime _localize_pydatetime(datetime dt, tzinfo tz):
     """
     Take a datetime/Timestamp in UTC and localizes to timezone tz.

Diff for: pandas/_libs/tslibs/timestamps.pxd

@@ -5,4 +5,4 @@ from pandas._libs.tslibs.np_datetime cimport npy_datetimestruct
 
 cdef object create_timestamp_from_ts(int64_t value,
                                      npy_datetimestruct dts,
-                                     object tz, object freq)
+                                     object tz, object freq, bint fold)