BUG: Fix timezone-related indexing and plotting bugs

doc/source/whatsnew/v0.25.0.rst

@@ -995,6 +995,7 @@ Timezones
 - Bug in :func:`DataFrame.join` where joining a timezone aware index with a timezone aware column would result in a column of ``NaN`` (:issue:`26335`)
 - Bug in :func:`date_range` where ambiguous or nonexistent start or end times were not handled by the ``ambiguous`` or ``nonexistent`` keywords respectively (:issue:`27088`)
 - Bug in :meth:`DatetimeIndex.union` when combining a timezone aware and timezone unaware :class:`DatetimeIndex` (:issue:`21671`)
+- Bug when applying a numpy reduction function (e.g. ``np.minimum``) to a timezone aware :class:`Series` (:issue:`15552`)
 
 Numeric
 ^^^^^^^
@@ -1054,7 +1055,7 @@ Indexing
 - Bug in :class:`CategoricalIndex` and :class:`Categorical` incorrectly raising ``ValueError`` instead of ``TypeError`` when a list is passed using the ``in`` operator (``__contains__``) (:issue:`21729`)
 - Bug in setting a new value in a :class:`Series` with a :class:`Timedelta` object incorrectly casting the value to an integer (:issue:`22717`)
 - Bug in :class:`Series` setting a new key (``__setitem__``) with a timezone-aware datetime incorrectly raising ``ValueError`` (:issue:`12862`)
--
+- Bug in :class:`Series` setting a existing tuple key (``__setitem__``) with timezone-aware datetime values incorrectly raising ``TypeError`` (:issue:`20441`)
 
 Missing
 ^^^^^^^
@@ -1111,7 +1112,7 @@ Plotting
 - Bug in an error message in :meth:`DataFrame.plot`. Improved the error message if non-numerics are passed to :meth:`DataFrame.plot` (:issue:`25481`)
 - Bug in incorrect ticklabel positions when plotting an index that are non-numeric / non-datetime (:issue:`7612`, :issue:`15912`, :issue:`22334`)
 - Fixed bug causing plots of :class:`PeriodIndex` timeseries to fail if the frequency is a multiple of the frequency rule code (:issue:`14763`)
--
+- Fixed bug when plotting a :class:`DatetimeIndex` with ``datetime.timezone.utc`` timezone (:issue:`17173`)
 -
 -
 

pandas/core/series.py

@@ -1250,6 +1250,10 @@ def setitem(key, value):
     def _set_with_engine(self, key, value):
         values = self._values
         try:
+            if is_extension_array_dtype(values):
+                # The cython indexing routines do not support ExtensionArrays.
+                # Defer to the next setting routine.
+                raise KeyError
             self.index._engine.set_value(values, key, value)
             return
         except KeyError:

pandas/plotting/_matplotlib/converter.py

@@ -324,9 +324,6 @@ def axisinfo(unit, axis):
 class PandasAutoDateFormatter(dates.AutoDateFormatter):
     def __init__(self, locator, tz=None, defaultfmt="%Y-%m-%d"):
         dates.AutoDateFormatter.__init__(self, locator, tz, defaultfmt)
-        # matplotlib.dates._UTC has no _utcoffset called by pandas
-        if self._tz is dates.UTC:
-            self._tz._utcoffset = self._tz.utcoffset(None)
 
 
 class PandasAutoDateLocator(dates.AutoDateLocator):

pandas/tests/plotting/test_datetimelike.py

@@ -45,9 +45,10 @@ def teardown_method(self, method):
         tm.close()
 
     @pytest.mark.slow
-    def test_ts_plot_with_tz(self):
-        # GH2877
-        index = date_range("1/1/2011", periods=2, freq="H", tz="Europe/Brussels")
+    def test_ts_plot_with_tz(self, tz_aware_fixture):
+        # GH2877, GH17173
+        tz = tz_aware_fixture
+        index = date_range("1/1/2011", periods=2, freq="H", tz=tz)
         ts = Series([188.5, 328.25], index=index)
         _check_plot_works(ts.plot)
 

pandas/tests/series/indexing/test_indexing.py

@@ -847,3 +847,14 @@ def test_head_tail(test_data):
     assert_series_equal(test_data.series.head(0), test_data.series[0:0])
     assert_series_equal(test_data.series.tail(), test_data.series[-5:])
     assert_series_equal(test_data.series.tail(0), test_data.series[0:0])
+
+
+def test_setitem_tuple_with_datetimetz():
+    # GH 20441
+    arr = pd.date_range("2017", periods=4, tz="US/Eastern")
+    index = [(0, 1), (0, 2), (0, 3), (0, 4)]
+    result = Series(arr, index=index)
+    expected = result.copy()
+    result[(0, 1)] = np.nan
+    expected.iloc[0] = np.nan
+    assert_series_equal(result, expected)

pandas/tests/series/test_timezones.py

@@ -10,7 +10,7 @@
 
 from pandas._libs.tslibs import conversion, timezones
 
-from pandas import DatetimeIndex, Index, NaT, Series, Timestamp
+from pandas import DatetimeIndex, Index, NaT, Series, Timestamp, to_datetime
 from pandas.core.indexes.datetimes import date_range
 import pandas.util.testing as tm
 
@@ -379,3 +379,11 @@ def test_constructor_data_aware_dtype_naive(self, tz_aware_fixture):
         result = Series([Timestamp("2019", tz=tz)], dtype="datetime64[ns]")
         expected = Series([Timestamp("2019")])
         tm.assert_series_equal(result, expected)
+
+    def test_numpy_reduction_with_tz_aware_dtype(self, tz_aware_fixture):
+        # GH 15552
+        tz = tz_aware_fixture
+        arg = to_datetime(["2019"]).tz_localize(tz)
+        expected = Series(arg)
+        result = np.minimum(expected, expected)
+        tm.assert_series_equal(result, expected)