TST: Clean old timezone issues PT2 (pandas-dev#21612)

Author: mroeschke

doc/source/whatsnew/v0.24.0.txt

@@ -164,12 +164,6 @@ Datetimelike
 ^^^^^^^^^^^^
 
 - Fixed bug where two :class:`DateOffset` objects with different ``normalize`` attributes could evaluate as equal (:issue:`21404`)
-- Bug in :class:`Index` with ``datetime64[ns, tz]`` dtype that did not localize integer data correctly (:issue:`20964`)
-- Bug in :meth:`DatetimeIndex.shift` where an ``AssertionError`` would raise when shifting across DST (:issue:`8616`)
-- Bug in :class:`Timestamp` constructor where passing an invalid timezone offset designator (``Z``) would not raise a ``ValueError``(:issue:`8910`)
-- Bug in :meth:`Timestamp.replace` where replacing at a DST boundary would retain an incorrect offset (:issue:`7825`)
-- Bug in :meth:`DatetimeIndex.reindex` when reindexing a tz-naive and tz-aware :class:`DatetimeIndex` (:issue:`8306`)
-- Bug in :meth:`DatetimeIndex.resample` when downsampling across a DST boundary (:issue:`8531`)
 
 Timedelta
 ^^^^^^^^^
@@ -181,9 +175,15 @@ Timedelta
 Timezones
 ^^^^^^^^^
 
--
--
--
+- Bug in :meth:`DatetimeIndex.shift` where an ``AssertionError`` would raise when shifting across DST (:issue:`8616`)
+- Bug in :class:`Timestamp` constructor where passing an invalid timezone offset designator (``Z``) would not raise a ``ValueError``(:issue:`8910`)
+- Bug in :meth:`Timestamp.replace` where replacing at a DST boundary would retain an incorrect offset (:issue:`7825`)
+- Bug in :meth:`Series.replace` with ``datetime64[ns, tz]`` data when replacing ``NaT`` (:issue:`11792`)
+- Bug in :class:`Timestamp` when passing different string date formats with a timezone offset would produce different timezone offsets (:issue:`12064`)
+- Bug when comparing a tz-naive :class:`Timestamp` to a tz-aware :class:`DatetimeIndex` which would coerce the :class:`DatetimeIndex` to tz-naive (:issue:`12601`)
+- Bug in :meth:`Series.truncate` with a tz-aware :class:`DatetimeIndex` which would cause a core dump (:issue:`9243`)
+- Bug in :class:`Series` constructor which would coerce tz-aware and tz-naive :class:`Timestamp`s to tz-aware (:issue:`13051`)
+- Bug in :class:`Index` with ``datetime64[ns, tz]`` dtype that did not localize integer data correctly (:issue:`20964`)
 
 Offsets
 ^^^^^^^
@@ -217,7 +217,10 @@ Indexing
 
 - The traceback from a ``KeyError`` when asking ``.loc`` for a single missing label is now shorter and more clear (:issue:`21557`)
 - When ``.ix`` is asked for a missing integer label in a :class:`MultiIndex` with a first level of integer type, it now raises a ``KeyError`` - consistently with the case of a flat :class:`Int64Index` - rather than falling back to positional indexing (:issue:`21593`)
--
+- Bug in :meth:`DatetimeIndex.reindex` when reindexing a tz-naive and tz-aware :class:`DatetimeIndex` (:issue:`8306`)
+- Bug in :class:`DataFrame` when setting values with ``.loc`` and a timezone aware :class:`DatetimeIndex` (:issue:`11365`)
+- Bug when indexing :class:`DatetimeIndex` with nanosecond resolution dates and timezones (:issue:`11679`)
+
 -
 
 MultiIndex
@@ -245,6 +248,7 @@ Groupby/Resample/Rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug in :func:`pandas.core.groupby.GroupBy.first` and :func:`pandas.core.groupby.GroupBy.last` with ``as_index=False`` leading to the loss of timezone information (:issue:`15884`)
+- Bug in :meth:`DatetimeIndex.resample` when downsampling across a DST boundary (:issue:`8531`)
 -
 -
 

pandas/conftest.py

@@ -320,3 +320,20 @@ def mock():
         return importlib.import_module("unittest.mock")
     else:
         return pytest.importorskip("mock")
+
+
+@pytest.fixture(params=['__eq__', '__ne__', '__le__',
+                        '__lt__', '__ge__', '__gt__'])
+def all_compare_operators(request):
+    """
+    Fixture for dunder names for common compare operations
+
+    * >=
+    * >
+    * ==
+    * !=
+    * <
+    * <=
+    """
+
+    return request.param

pandas/tests/frame/test_indexing.py

@@ -2248,6 +2248,16 @@ def test_setitem_datetimelike_with_inference(self):
                           index=list('ABCDEFGH'))
         assert_series_equal(result, expected)
 
+    @pytest.mark.parametrize('idxer', ['var', ['var']])
+    def test_setitem_datetimeindex_tz(self, idxer, tz_naive_fixture):
+        # GH 11365
+        tz = tz_naive_fixture
+        idx = date_range(start='2015-07-12', periods=3, freq='H', tz=tz)
+        expected = DataFrame(1.2, index=idx, columns=['var'])
+        result = DataFrame(index=idx, columns=['var'])
+        result.loc[:, idxer] = expected
+        tm.assert_frame_equal(result, expected)
+
     def test_at_time_between_time_datetimeindex(self):
         index = date_range("2012-01-01", "2012-01-05", freq='30min')
         df = DataFrame(randn(len(index), 5), index=index)

pandas/tests/indexes/datetimes/test_arithmetic.py

@@ -276,6 +276,10 @@ def test_comparison_tzawareness_compat(self, op):
         with pytest.raises(TypeError):
             op(dz, ts)
 
+        # GH 12601: Check comparison against Timestamps and DatetimeIndex
+        with pytest.raises(TypeError):
+            op(ts, dz)
+
     @pytest.mark.parametrize('op', [operator.eq, operator.ne,
                                     operator.gt, operator.ge,
                                     operator.lt, operator.le])

pandas/tests/indexes/datetimes/test_date_range.py

@@ -292,6 +292,15 @@ def test_construct_over_dst(self):
                             freq='H', tz='US/Pacific')
         tm.assert_index_equal(result, expected)
 
+    def test_construct_with_different_start_end_string_format(self):
+        # GH 12064
+        result = date_range('2013-01-01 00:00:00+09:00',
+                            '2013/01/01 02:00:00+09:00', freq='H')
+        expected = DatetimeIndex([Timestamp('2013-01-01 00:00:00+09:00'),
+                                  Timestamp('2013-01-01 01:00:00+09:00'),
+                                  Timestamp('2013-01-01 02:00:00+09:00')])
+        tm.assert_index_equal(result, expected)
+
 
 class TestGenRangeGeneration(object):
 

pandas/tests/indexing/test_datetime.py

@@ -252,3 +252,17 @@ def test_series_partial_set_period(self):
                                         check_stacklevel=False):
             result = ser.loc[keys]
         tm.assert_series_equal(result, exp)
+
+    def test_nanosecond_getitem_setitem_with_tz(self):
+        # GH 11679
+        data = ['2016-06-28 08:30:00.123456789']
+        index = pd.DatetimeIndex(data, dtype='datetime64[ns, America/Chicago]')
+        df = DataFrame({'a': [10]}, index=index)
+        result = df.loc[df.index[0]]
+        expected = Series(10, index=['a'], name=df.index[0])
+        tm.assert_series_equal(result, expected)
+
+        result = df.copy()
+        result.loc[df.index[0], 'a'] = -1
+        expected = DataFrame(-1, index=index, columns=['a'])
+        tm.assert_frame_equal(result, expected)

pandas/tests/scalar/timestamp/test_timestamp.py

@@ -542,6 +542,14 @@ def test_construct_timestamp_near_dst(self, offset):
         result = Timestamp(expected, tz='Europe/Helsinki')
         assert result == expected
 
+    @pytest.mark.parametrize('arg', [
+        '2013/01/01 00:00:00+09:00', '2013-01-01 00:00:00+09:00'])
+    def test_construct_with_different_string_format(self, arg):
+        # GH 12064
+        result = Timestamp(arg)
+        expected = Timestamp(datetime(2013, 1, 1), tz=pytz.FixedOffset(540))
+        assert result == expected
+
 
 class TestTimestamp(object):
 

pandas/tests/series/test_constructors.py

@@ -1185,3 +1185,11 @@ def test_constructor_range_dtype(self, dtype):
         expected = Series([0, 1, 2, 3, 4], dtype=dtype or 'int64')
         result = Series(range(5), dtype=dtype)
         tm.assert_series_equal(result, expected)
+
+    def test_constructor_tz_mixed_data(self):
+        # GH 13051
+        dt_list = [Timestamp('2016-05-01 02:03:37'),
+                   Timestamp('2016-04-30 19:03:37-0700', tz='US/Pacific')]
+        result = Series(dt_list)
+        expected = Series(dt_list, dtype=object)
+        tm.assert_series_equal(result, expected)

pandas/tests/series/test_replace.py

@@ -108,6 +108,13 @@ def test_replace_gh5319(self):
                              pd.Timestamp('20120101'))
         tm.assert_series_equal(result, expected)
 
+        # GH 11792: Test with replacing NaT in a list with tz data
+        ts = pd.Timestamp('2015/01/01', tz='UTC')
+        s = pd.Series([pd.NaT, pd.Timestamp('2015/01/01', tz='UTC')])
+        result = s.replace([np.nan, pd.NaT], pd.Timestamp.min)
+        expected = pd.Series([pd.Timestamp.min, ts], dtype=object)
+        tm.assert_series_equal(expected, result)
+
     def test_replace_with_single_list(self):
         ser = pd.Series([0, 1, 2, 3, 4])
         result = ser.replace([1, 2, 3])

pandas/tests/series/test_timezones.py

@@ -300,3 +300,11 @@ def test_getitem_pydatetime_tz(self, tzstr):
         dt = datetime(2012, 12, 24, 17, 0)
         time_datetime = tslib._localize_pydatetime(dt, tz)
         assert ts[time_pandas] == ts[time_datetime]
+
+    def test_series_truncate_datetimeindex_tz(self):
+        # GH 9243
+        idx = date_range('4/1/2005', '4/30/2005', freq='D', tz='US/Pacific')
+        s = Series(range(len(idx)), index=idx)
+        result = s.truncate(datetime(2005, 4, 2), datetime(2005, 4, 4))
+        expected = Series([1, 2, 3], index=idx[1:4])
+        tm.assert_series_equal(result, expected)