DEPR: Deprecate Timestamp.to_datetime

doc/source/whatsnew/v0.19.0.txt

@@ -436,6 +436,7 @@ API changes
 ~~~~~~~~~~~
 
 
+- ``Timestamp.to_pydatetime`` will issue a ``UserWarning`` when ``warn=True``, and the instance has a non-zero number of nanoseconds (:issue:`14101`)
 - ``Panel.to_sparse`` will raise a ``NotImplementedError`` exception when called (:issue:`13778`)
 - ``Index.reshape`` will raise a ``NotImplementedError`` exception when called (:issue:`12882`)
 - Non-convertible dates in an excel date column will be returned without conversion and the column will be ``object`` dtype, rather than raising an exception  (:issue:`10001`)
@@ -1031,6 +1032,7 @@ Deprecations
 - ``Categorical.reshape`` has been deprecated and will be removed in a subsequent release (:issue:`12882`)
 - ``Series.reshape`` has been deprecated and will be removed in a subsequent release (:issue:`12882`)
 
+- ``Timestamp.to_datetime`` has been deprecated in favour of ``Timestamp.to_pydatetime`` (:issue:`8254`)
 - ``Index.to_datetime`` and ``DatetimeIndex.to_datetime`` have been deprecated in favour of ``pd.to_datetime`` (:issue:`8254`)
 - ``SparseList`` has been deprecated and will be removed in a future version (:issue:`13784`)
 - ``DataFrame.to_html()`` and ``DataFrame.to_latex()`` have dropped the ``colSpace`` parameter in favor of ``col_space`` (:issue:`13857`)

pandas/io/tests/json/test_pandas.py

@@ -908,17 +908,17 @@ def test_tz_is_utc(self):
 
         ts = Timestamp('2013-01-10 05:00:00Z')
         self.assertEqual(exp, pd.json.dumps(ts, iso_dates=True))
-        dt = ts.to_datetime()
+        dt = ts.to_pydatetime()
         self.assertEqual(exp, pd.json.dumps(dt, iso_dates=True))
 
         ts = Timestamp('2013-01-10 00:00:00', tz='US/Eastern')
         self.assertEqual(exp, pd.json.dumps(ts, iso_dates=True))
-        dt = ts.to_datetime()
+        dt = ts.to_pydatetime()
         self.assertEqual(exp, pd.json.dumps(dt, iso_dates=True))
 
         ts = Timestamp('2013-01-10 00:00:00-0500')
         self.assertEqual(exp, pd.json.dumps(ts, iso_dates=True))
-        dt = ts.to_datetime()
+        dt = ts.to_pydatetime()
         self.assertEqual(exp, pd.json.dumps(dt, iso_dates=True))
 
     def test_tz_range_is_utc(self):

pandas/tests/indexes/test_base.py

@@ -502,7 +502,7 @@ def test_asof(self):
         d = self.dateIndex[-1]
         self.assertEqual(self.dateIndex.asof(d + timedelta(1)), d)
 
-        d = self.dateIndex[0].to_datetime()
+        d = self.dateIndex[0].to_pydatetime()
         tm.assertIsInstance(self.dateIndex.asof(d), Timestamp)
 
     def test_asof_datetime_partial(self):

pandas/tests/test_groupby.py

@@ -779,7 +779,7 @@ def test_get_group(self):
         g = df.groupby('DATE')
         key = list(g.groups)[0]
         result1 = g.get_group(key)
-        result2 = g.get_group(Timestamp(key).to_datetime())
+        result2 = g.get_group(Timestamp(key).to_pydatetime())
         result3 = g.get_group(str(Timestamp(key)))
         assert_frame_equal(result1, result2)
         assert_frame_equal(result1, result3)
@@ -788,7 +788,7 @@ def test_get_group(self):
 
         key = list(g.groups)[0]
         result1 = g.get_group(key)
-        result2 = g.get_group((Timestamp(key[0]).to_datetime(), key[1]))
+        result2 = g.get_group((Timestamp(key[0]).to_pydatetime(), key[1]))
         result3 = g.get_group((str(Timestamp(key[0])), key[1]))
         assert_frame_equal(result1, result2)
         assert_frame_equal(result1, result3)

pandas/tseries/tests/test_base.py

@@ -1127,11 +1127,11 @@ def test_subtraction_ops_with_tz(self):
         # check that dt/dti subtraction ops with tz are validated
         dti = date_range('20130101', periods=3)
         ts = Timestamp('20130101')
-        dt = ts.to_datetime()
+        dt = ts.to_pydatetime()
         dti_tz = date_range('20130101', periods=3).tz_localize('US/Eastern')
         ts_tz = Timestamp('20130101').tz_localize('US/Eastern')
         ts_tz2 = Timestamp('20130101').tz_localize('CET')
-        dt_tz = ts_tz.to_datetime()
+        dt_tz = ts_tz.to_pydatetime()
         td = Timedelta('1 days')
 
         def _check(result, expected):

pandas/tseries/tests/test_offsets.py

@@ -261,8 +261,19 @@ def _check_offsetfunc_works(self, offset, funcname, dt, expected,
         self.assertTrue(isinstance(result, Timestamp))
         self.assertEqual(result, expected)
 
-        # test nano second is preserved
-        result = func(Timestamp(dt) + Nano(5))
+        # see gh-14101
+        exp_warning = None
+        ts = Timestamp(dt) + Nano(5)
+
+        if (offset_s.__class__.__name__ == 'DateOffset' and
+                (funcname == 'apply' or normalize) and
+                ts.nanosecond > 0):
+            exp_warning = UserWarning
+
+        # test nanosecond is preserved
+        with tm.assert_produces_warning(exp_warning,
+                                        check_stacklevel=False):
+            result = func(ts)
         self.assertTrue(isinstance(result, Timestamp))
         if normalize is False:
             self.assertEqual(result, expected + Nano(5))
@@ -289,8 +300,19 @@ def _check_offsetfunc_works(self, offset, funcname, dt, expected,
             self.assertTrue(isinstance(result, Timestamp))
             self.assertEqual(result, expected_localize)
 
-            # test nano second is preserved
-            result = func(Timestamp(dt, tz=tz) + Nano(5))
+            # see gh-14101
+            exp_warning = None
+            ts = Timestamp(dt, tz=tz) + Nano(5)
+
+            if (offset_s.__class__.__name__ == 'DateOffset' and
+                    (funcname == 'apply' or normalize) and
+                    ts.nanosecond > 0):
+                exp_warning = UserWarning
+
+            # test nanosecond is preserved
+            with tm.assert_produces_warning(exp_warning,
+                                            check_stacklevel=False):
+                result = func(ts)
             self.assertTrue(isinstance(result, Timestamp))
             if normalize is False:
                 self.assertEqual(result, expected_localize + Nano(5))

pandas/tseries/tests/test_timeseries.py

@@ -1020,7 +1020,13 @@ def test_NaT_methods(self):
 
         for method in nat_methods:
             if hasattr(NaT, method):
-                self.assertIs(getattr(NaT, method)(), NaT)
+                # see gh-8254
+                exp_warning = None
+                if method == 'to_datetime':
+                    exp_warning = FutureWarning
+                with tm.assert_produces_warning(
+                        exp_warning, check_stacklevel=False):
+                    self.assertIs(getattr(NaT, method)(), NaT)
 
         # GH 12300
         self.assertEqual(NaT.isoformat(), 'NaT')

pandas/tseries/tests/test_timezones.py

@@ -169,7 +169,7 @@ def test_timestamp_to_datetime_tzoffset(self):
         from dateutil.tz import tzoffset
         tzinfo = tzoffset(None, 7200)
         expected = Timestamp('3/11/2012 04:00', tz=tzinfo)
-        result = Timestamp(expected.to_datetime())
+        result = Timestamp(expected.to_pydatetime())
         self.assertEqual(expected, result)
 
     def test_timedelta_push_over_dst_boundary(self):

pandas/tseries/tests/test_tslib.py

@@ -47,12 +47,17 @@ def test_max_valid(self):
     def test_to_datetime_bijective(self):
         # Ensure that converting to datetime and back only loses precision
         # by going from nanoseconds to microseconds.
-        self.assertEqual(
-            Timestamp(Timestamp.max.to_pydatetime()).value / 1000,
-            Timestamp.max.value / 1000)
-        self.assertEqual(
-            Timestamp(Timestamp.min.to_pydatetime()).value / 1000,
-            Timestamp.min.value / 1000)
+        exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
+        with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
+            self.assertEqual(
+                Timestamp(Timestamp.max.to_pydatetime()).value / 1000,
+                Timestamp.max.value / 1000)
+
+        exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
+        with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
+            self.assertEqual(
+                Timestamp(Timestamp.min.to_pydatetime()).value / 1000,
+                Timestamp.min.value / 1000)
 
 
 class TestTimestamp(tm.TestCase):
@@ -616,6 +621,26 @@ def test_pprint(self):
  'foo': 1}"""
         self.assertEqual(result, expected)
 
+    def to_datetime_depr(self):
+        # see gh-8254
+        ts = Timestamp('2011-01-01')
+
+        with tm.assert_produces_warning(FutureWarning,
+                                        check_stacklevel=False):
+            expected = datetime.datetime(2011, 1, 1)
+            result = ts.to_datetime()
+            self.assertEqual(result, expected)
+
+    def to_pydatetime_nonzero_nano(self):
+        ts = Timestamp('2011-01-01 9:00:00.123456789')
+
+        # Warn the user of data loss (nanoseconds).
+        with tm.assert_produces_warning(UserWarning,
+                                        check_stacklevel=False):
+            expected = datetime.datetime(2011, 1, 1, 9, 0, 0, 123456)
+            result = ts.to_pydatetime()
+            self.assertEqual(result, expected)
+
 
 class TestDatetimeParsingWrappers(tm.TestCase):
     def test_does_not_convert_mixed_integer(self):

pandas/tslib.pyx

@@ -1,5 +1,7 @@
 # cython: profile=False
 
+import warnings
+
 cimport numpy as np
 from numpy cimport (int8_t, int32_t, int64_t, import_array, ndarray,
                     NPY_INT64, NPY_DATETIME, NPY_TIMEDELTA)
@@ -637,22 +639,6 @@ class Timestamp(_Timestamp):
         return Timestamp(datetime.replace(self, **kwds),
                          freq=self.freq)
 
-    def to_pydatetime(self, warn=True):
-        """
-        If warn=True, issue warning if nanoseconds is nonzero
-        """
-        cdef:
-            pandas_datetimestruct dts
-            _TSObject ts
-
-        if self.nanosecond != 0 and warn:
-            print 'Warning: discarding nonzero nanoseconds'
-        ts = convert_to_tsobject(self, self.tzinfo, None, 0, 0)
-
-        return datetime(ts.dts.year, ts.dts.month, ts.dts.day,
-                        ts.dts.hour, ts.dts.min, ts.dts.sec,
-                        ts.dts.us, ts.tzinfo)
-
     def isoformat(self, sep='T'):
         base = super(_Timestamp, self).isoformat(sep=sep)
         if self.nanosecond == 0:
@@ -805,11 +791,11 @@ def _make_nan_func(func_name):
     f.__name__ = func_name
     return f
 
-_nat_methods = ['date', 'now', 'replace', 'to_datetime', 'today']
+_nat_methods = ['date', 'now', 'replace', 'to_pydatetime', 'today']
 
 _nan_methods = ['weekday', 'isoweekday', 'total_seconds']
 
-_implemented_methods = ['to_datetime64', 'isoformat']
+_implemented_methods = ['to_datetime', 'to_datetime64', 'isoformat']
 _implemented_methods.extend(_nat_methods)
 _implemented_methods.extend(_nan_methods)
 
@@ -986,7 +972,7 @@ cdef class _Timestamp(datetime):
             ots = other
         elif isinstance(other, datetime):
             if self.nanosecond == 0:
-                val = self.to_datetime()
+                val = self.to_pydatetime()
                 return PyObject_RichCompareBool(val, other, op)
 
             try:
@@ -1048,7 +1034,7 @@ cdef class _Timestamp(datetime):
 
     cdef bint _compare_outside_nanorange(_Timestamp self, datetime other,
                                          int op) except -1:
-        cdef datetime dtval = self.to_datetime()
+        cdef datetime dtval = self.to_pydatetime()
 
         self._assert_tzawareness_compat(other)
 
@@ -1078,9 +1064,28 @@ cdef class _Timestamp(datetime):
             raise TypeError('Cannot compare tz-naive and tz-aware timestamps')
 
     cpdef datetime to_datetime(_Timestamp self):
+        """
+        DEPRECATED: use :meth:`to_pydatetime` instead.
+
+        Convert a Timestamp object to a native Python datetime object.
+        """
+        warnings.warn("to_datetime is deprecated. Use self.to_pydatetime()",
+                      FutureWarning, stacklevel=2)
+        return self.to_pydatetime(warn=False)
+
+    cpdef datetime to_pydatetime(_Timestamp self, warn=True):
+        """
+        Convert a Timestamp object to a native Python datetime object.
+
+        If warn=True, issue a warning if nanoseconds is nonzero.
+        """
         cdef:
             pandas_datetimestruct dts
             _TSObject ts
+
+        if self.nanosecond != 0 and warn:
+            warnings.warn("Discarding nonzero nanoseconds in conversion",
+                          UserWarning, stacklevel=2)
         ts = convert_to_tsobject(self, self.tzinfo, None, 0, 0)
         dts = ts.dts
         return datetime(dts.year, dts.month, dts.day,