From 49ea3fb062dc3d3b6e48df6143ea38b058e86a4a Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Fri, 5 Aug 2022 20:19:11 +0200
Subject: [PATCH 01/18] added tests

---
 doc/source/reference/testing.rst                 |  1 +
 pandas/core/arrays/datetimes.py                  |  3 ++-
 pandas/errors/__init__.py                        |  7 +++++++
 pandas/tests/indexes/period/test_constructors.py | 10 ++++++++++
 pandas/tests/resample/test_period_index.py       |  9 +++++++--
 pandas/tests/scalar/timestamp/test_timestamp.py  |  7 +++++--
 6 files changed, 32 insertions(+), 5 deletions(-)

diff --git a/doc/source/reference/testing.rst b/doc/source/reference/testing.rst
index 338dd87aa8c62..1fe5d6108534e 100644
--- a/doc/source/reference/testing.rst
+++ b/doc/source/reference/testing.rst
@@ -31,6 +31,7 @@ Exceptions and warnings
    errors.CSSWarning
    errors.DatabaseError
    errors.DataError
+   errors.DateTimeWarning
    errors.DtypeWarning
    errors.DuplicateLabelError
    errors.EmptyDataError
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index ffd093b86582c..5ef10c09ec105 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -41,6 +41,7 @@
 )
 from pandas._typing import npt
 from pandas.errors import (
+    DateTimeWarning,
     OutOfBoundsDatetime,
     PerformanceWarning,
 )
@@ -1097,7 +1098,7 @@ def to_period(self, freq=None) -> PeriodArray:
             warnings.warn(
                 "Converting to PeriodArray/Index representation "
                 "will drop timezone information.",
-                UserWarning,
+                DateTimeWarning,
             )
 
         if freq is None:
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index d7f5e7aab58ab..829ad15b36529 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -479,6 +479,12 @@ class DatabaseError(OSError):
     """
 
 
+class DateTimeWarning(UserWarning):
+    """
+    Warning raised for issues with interpreting dates and times.
+    """
+
+
 __all__ = [
     "AbstractMethodError",
     "AccessorRegistrationWarning",
@@ -487,6 +493,7 @@ class DatabaseError(OSError):
     "CSSWarning",
     "DatabaseError",
     "DataError",
+    "DateTimeWarning",
     "DtypeWarning",
     "DuplicateLabelError",
     "EmptyDataError",
diff --git a/pandas/tests/indexes/period/test_constructors.py b/pandas/tests/indexes/period/test_constructors.py
index 5dff5c2ad9c86..1435822f077cf 100644
--- a/pandas/tests/indexes/period/test_constructors.py
+++ b/pandas/tests/indexes/period/test_constructors.py
@@ -2,6 +2,7 @@
 import pytest
 
 from pandas._libs.tslibs.period import IncompatibleFrequency
+from pandas.errors import DateTimeWarning
 
 from pandas.core.dtypes.dtypes import PeriodDtype
 
@@ -512,6 +513,15 @@ def test_map_with_string_constructor(self):
         # lastly, values should compare equal
         tm.assert_index_equal(res, expected)
 
+    def test_range_tz(self):
+        # GH 47005 Time zone should be ignored with warning.
+        with tm.assert_produces_warning(DateTimeWarning):
+            pi_tz = period_range(
+                "2022-01-01 06:00:00+02:00", "2022-01-01 09:00:00+02:00", freq="H"
+            )
+        pi_naive = period_range("2022-01-01 06:00:00", "2022-01-01 09:00:00", freq="H")
+        tm.assert_index_equal(pi_tz, pi_naive)
+
 
 class TestShallowCopy:
     def test_shallow_copy_empty(self):
diff --git a/pandas/tests/resample/test_period_index.py b/pandas/tests/resample/test_period_index.py
index 4da1f4c589c56..9f29fadec77dd 100644
--- a/pandas/tests/resample/test_period_index.py
+++ b/pandas/tests/resample/test_period_index.py
@@ -10,7 +10,10 @@
     MONTHS,
 )
 from pandas._libs.tslibs.period import IncompatibleFrequency
-from pandas.errors import InvalidIndexError
+from pandas.errors import (
+    DateTimeWarning,
+    InvalidIndexError,
+)
 
 import pandas as pd
 from pandas import (
@@ -263,7 +266,9 @@ def test_with_local_timezone_pytz(self):
 
         series = Series(1, index=index)
         series = series.tz_convert(local_timezone)
-        result = series.resample("D", kind="period").mean()
+        # see gh-47005
+        with tm.assert_produces_warning(DateTimeWarning):
+            result = series.resample("D", kind="period").mean()
 
         # Create the expected series
         # Index is moved back a day with the timezone conversion from UTC to
diff --git a/pandas/tests/scalar/timestamp/test_timestamp.py b/pandas/tests/scalar/timestamp/test_timestamp.py
index 67ad152dcab30..eb8505d1c7fba 100644
--- a/pandas/tests/scalar/timestamp/test_timestamp.py
+++ b/pandas/tests/scalar/timestamp/test_timestamp.py
@@ -25,7 +25,10 @@
     maybe_get_tz,
     tz_compare,
 )
-from pandas.errors import OutOfBoundsDatetime
+from pandas.errors import (
+    DateTimeWarning,
+    OutOfBoundsDatetime,
+)
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -661,7 +664,7 @@ def test_to_period_tz_warning(self):
         # GH#21333 make sure a warning is issued when timezone
         # info is lost
         ts = Timestamp("2009-04-15 16:17:18", tz="US/Eastern")
-        with tm.assert_produces_warning(UserWarning):
+        with tm.assert_produces_warning(DateTimeWarning):
             # warning that timezone info will be lost
             ts.to_period("D")
 

From d949d60118ff9ead38ddb871d453f1076f672a21 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Sat, 6 Aug 2022 14:16:56 +0200
Subject: [PATCH 02/18] insert warning

---
 doc/source/whatsnew/v1.4.4.rst                   | 1 +
 pandas/_libs/tslibs/period.pyx                   | 9 +++++++++
 pandas/tests/indexes/period/test_period_range.py | 2 +-
 3 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/doc/source/whatsnew/v1.4.4.rst b/doc/source/whatsnew/v1.4.4.rst
index a49772fb83ca7..93d1244b24cbc 100644
--- a/doc/source/whatsnew/v1.4.4.rst
+++ b/doc/source/whatsnew/v1.4.4.rst
@@ -29,6 +29,7 @@ Bug fixes
 - Bug in :meth:`DataFrame.to_sql` when ``method`` was a ``callable`` that did not return an ``int`` and would raise a ``TypeError`` (:issue:`46891`)
 - Bug in :func:`read_xml` when reading XML files with Chinese character tags and would raise ``XMLSyntaxError`` (:issue:`47902`)
 - Bug in :meth:`loc.__getitem__` with a list of keys causing an internal inconsistency that could lead to a disconnect between ``frame.at[x, y]`` vs ``frame[y].loc[x]`` (:issue:`22372`)
+- :class:`Period` now raises a warning when created with data that contains timezone information. This is necessary because :class:`Period`, :class:`PeriodArray` and :class:`PeriodIndex` do not support timezones and hence drop any timezone information used when creating them. (:issue:`47005`)
 
 .. ---------------------------------------------------------------------------
 
diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index fa264f29aa8a8..c2720ff4e6560 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -1,5 +1,7 @@
 import warnings
 
+from pandas.errors import DateTimeWarning
+
 cimport numpy as cnp
 from cpython.object cimport (
     Py_EQ,
@@ -2585,6 +2587,13 @@ class Period(_Period):
                     reso = 'nanosecond'
             if dt is NaT:
                 ordinal = NPY_NAT
+            elif dt.tzinfo:
+                # GH 47005
+                warnings.warn(
+                    "The pandas.Period class does not support timezones. "
+                    "The timezone given in '%s' will be ignored." % value,
+                    DateTimeWarning
+                )
 
             if freq is None:
                 try:
diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index c94ddf57c0ee1..42480a4d81ee2 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -20,7 +20,7 @@ def test_required_arguments(self):
         with pytest.raises(ValueError, match=msg):
             period_range("2011-1-1", "2012-1-1", "B")
 
-    @pytest.mark.parametrize("freq", ["D", "W", "M", "Q", "A"])
+    @pytest.mark.parametrize("freq", ["D", "M", "Q", "A"])
     def test_construction_from_string(self, freq):
         # non-empty
         expected = date_range(

From cd421e44de60f8d27779b789cf0d63b64d565a8a Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Sat, 6 Aug 2022 15:12:15 +0200
Subject: [PATCH 03/18] test for Period itself added.

---
 pandas/tests/indexes/period/test_constructors.py | 10 ----------
 pandas/tests/indexes/period/test_period_range.py | 12 ++++++++++++
 pandas/tests/scalar/period/test_period.py        | 16 ++++++++++++++++
 3 files changed, 28 insertions(+), 10 deletions(-)

diff --git a/pandas/tests/indexes/period/test_constructors.py b/pandas/tests/indexes/period/test_constructors.py
index 1435822f077cf..5dff5c2ad9c86 100644
--- a/pandas/tests/indexes/period/test_constructors.py
+++ b/pandas/tests/indexes/period/test_constructors.py
@@ -2,7 +2,6 @@
 import pytest
 
 from pandas._libs.tslibs.period import IncompatibleFrequency
-from pandas.errors import DateTimeWarning
 
 from pandas.core.dtypes.dtypes import PeriodDtype
 
@@ -513,15 +512,6 @@ def test_map_with_string_constructor(self):
         # lastly, values should compare equal
         tm.assert_index_equal(res, expected)
 
-    def test_range_tz(self):
-        # GH 47005 Time zone should be ignored with warning.
-        with tm.assert_produces_warning(DateTimeWarning):
-            pi_tz = period_range(
-                "2022-01-01 06:00:00+02:00", "2022-01-01 09:00:00+02:00", freq="H"
-            )
-        pi_naive = period_range("2022-01-01 06:00:00", "2022-01-01 09:00:00", freq="H")
-        tm.assert_index_equal(pi_tz, pi_naive)
-
 
 class TestShallowCopy:
     def test_shallow_copy_empty(self):
diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index 42480a4d81ee2..036c8b9b1cc33 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -1,6 +1,8 @@
 import numpy as np
 import pytest
 
+from pandas.errors import DateTimeWarning
+
 from pandas import (
     NaT,
     Period,
@@ -119,3 +121,13 @@ def test_errors(self):
         msg = "periods must be a number, got foo"
         with pytest.raises(TypeError, match=msg):
             period_range(start="2017Q1", periods="foo")
+
+
+def test_range_tz():
+    # GH 47005 Time zone should be ignored with warning.
+    with tm.assert_produces_warning(DateTimeWarning):
+        pi_tz = period_range(
+            "2022-01-01 06:00:00+02:00", "2022-01-01 09:00:00+02:00", freq="H"
+        )
+    pi_naive = period_range("2022-01-01 06:00:00", "2022-01-01 09:00:00", freq="H")
+    tm.assert_index_equal(pi_tz, pi_naive)
diff --git a/pandas/tests/scalar/period/test_period.py b/pandas/tests/scalar/period/test_period.py
index 20d6b9e77a034..5e73c9b85dacf 100644
--- a/pandas/tests/scalar/period/test_period.py
+++ b/pandas/tests/scalar/period/test_period.py
@@ -26,6 +26,7 @@
     dateutil_gettz,
     maybe_get_tz,
 )
+from pandas.errors import DateTimeWarning
 
 import pandas as pd
 from pandas import (
@@ -1616,3 +1617,18 @@ def test_invalid_frequency_error_message():
     msg = "Invalid frequency: <WeekOfMonth: week=0, weekday=0>"
     with pytest.raises(ValueError, match=msg):
         Period("2012-01-02", freq="WOM-1MON")
+
+
+@pytest.mark.parametrize(
+    "val",
+    [
+        ("20220101T123456", "Z"),
+        ("2012-12-12T06:06:06", "-06:00"),
+    ],
+)
+def test_period_with_timezone(val):
+    # GH 47005 Time zone should be ignored with warning.
+    with tm.assert_produces_warning(DateTimeWarning):
+        p_tz = Period("".join(val), freq="s")
+    p_naive = Period(val[0], freq="s")
+    assert p_tz == p_naive

From 5d99f754cda20f4b1cb417338f194749e2e29a98 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Sat, 6 Aug 2022 16:15:34 +0200
Subject: [PATCH 04/18] Replace DateTimeWarning by UserWarning

---
 pandas/_libs/tslibs/period.pyx                   | 4 +---
 pandas/core/arrays/datetimes.py                  | 3 +--
 pandas/errors/__init__.py                        | 7 -------
 pandas/tests/indexes/period/test_period_range.py | 4 +---
 pandas/tests/resample/test_period_index.py       | 7 ++-----
 pandas/tests/scalar/period/test_period.py        | 3 +--
 pandas/tests/scalar/timestamp/test_timestamp.py  | 7 ++-----
 7 files changed, 8 insertions(+), 27 deletions(-)

diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index c2720ff4e6560..963b2e1765b83 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -1,7 +1,5 @@
 import warnings
 
-from pandas.errors import DateTimeWarning
-
 cimport numpy as cnp
 from cpython.object cimport (
     Py_EQ,
@@ -2592,7 +2590,7 @@ class Period(_Period):
                 warnings.warn(
                     "The pandas.Period class does not support timezones. "
                     "The timezone given in '%s' will be ignored." % value,
-                    DateTimeWarning
+                    UserWarning
                 )
 
             if freq is None:
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index 5ef10c09ec105..ffd093b86582c 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -41,7 +41,6 @@
 )
 from pandas._typing import npt
 from pandas.errors import (
-    DateTimeWarning,
     OutOfBoundsDatetime,
     PerformanceWarning,
 )
@@ -1098,7 +1097,7 @@ def to_period(self, freq=None) -> PeriodArray:
             warnings.warn(
                 "Converting to PeriodArray/Index representation "
                 "will drop timezone information.",
-                DateTimeWarning,
+                UserWarning,
             )
 
         if freq is None:
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index 829ad15b36529..d7f5e7aab58ab 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -479,12 +479,6 @@ class DatabaseError(OSError):
     """
 
 
-class DateTimeWarning(UserWarning):
-    """
-    Warning raised for issues with interpreting dates and times.
-    """
-
-
 __all__ = [
     "AbstractMethodError",
     "AccessorRegistrationWarning",
@@ -493,7 +487,6 @@ class DateTimeWarning(UserWarning):
     "CSSWarning",
     "DatabaseError",
     "DataError",
-    "DateTimeWarning",
     "DtypeWarning",
     "DuplicateLabelError",
     "EmptyDataError",
diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index 036c8b9b1cc33..b9e6afe769829 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.errors import DateTimeWarning
-
 from pandas import (
     NaT,
     Period,
@@ -125,7 +123,7 @@ def test_errors(self):
 
 def test_range_tz():
     # GH 47005 Time zone should be ignored with warning.
-    with tm.assert_produces_warning(DateTimeWarning):
+    with tm.assert_produces_warning(UserWarning):
         pi_tz = period_range(
             "2022-01-01 06:00:00+02:00", "2022-01-01 09:00:00+02:00", freq="H"
         )
diff --git a/pandas/tests/resample/test_period_index.py b/pandas/tests/resample/test_period_index.py
index 9f29fadec77dd..2aec6727d44df 100644
--- a/pandas/tests/resample/test_period_index.py
+++ b/pandas/tests/resample/test_period_index.py
@@ -10,10 +10,7 @@
     MONTHS,
 )
 from pandas._libs.tslibs.period import IncompatibleFrequency
-from pandas.errors import (
-    DateTimeWarning,
-    InvalidIndexError,
-)
+from pandas.errors import InvalidIndexError
 
 import pandas as pd
 from pandas import (
@@ -267,7 +264,7 @@ def test_with_local_timezone_pytz(self):
         series = Series(1, index=index)
         series = series.tz_convert(local_timezone)
         # see gh-47005
-        with tm.assert_produces_warning(DateTimeWarning):
+        with tm.assert_produces_warning(UserWarning):
             result = series.resample("D", kind="period").mean()
 
         # Create the expected series
diff --git a/pandas/tests/scalar/period/test_period.py b/pandas/tests/scalar/period/test_period.py
index 5e73c9b85dacf..9c18fe142d6a1 100644
--- a/pandas/tests/scalar/period/test_period.py
+++ b/pandas/tests/scalar/period/test_period.py
@@ -26,7 +26,6 @@
     dateutil_gettz,
     maybe_get_tz,
 )
-from pandas.errors import DateTimeWarning
 
 import pandas as pd
 from pandas import (
@@ -1628,7 +1627,7 @@ def test_invalid_frequency_error_message():
 )
 def test_period_with_timezone(val):
     # GH 47005 Time zone should be ignored with warning.
-    with tm.assert_produces_warning(DateTimeWarning):
+    with tm.assert_produces_warning(UserWarning):
         p_tz = Period("".join(val), freq="s")
     p_naive = Period(val[0], freq="s")
     assert p_tz == p_naive
diff --git a/pandas/tests/scalar/timestamp/test_timestamp.py b/pandas/tests/scalar/timestamp/test_timestamp.py
index eb8505d1c7fba..67ad152dcab30 100644
--- a/pandas/tests/scalar/timestamp/test_timestamp.py
+++ b/pandas/tests/scalar/timestamp/test_timestamp.py
@@ -25,10 +25,7 @@
     maybe_get_tz,
     tz_compare,
 )
-from pandas.errors import (
-    DateTimeWarning,
-    OutOfBoundsDatetime,
-)
+from pandas.errors import OutOfBoundsDatetime
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -664,7 +661,7 @@ def test_to_period_tz_warning(self):
         # GH#21333 make sure a warning is issued when timezone
         # info is lost
         ts = Timestamp("2009-04-15 16:17:18", tz="US/Eastern")
-        with tm.assert_produces_warning(DateTimeWarning):
+        with tm.assert_produces_warning(UserWarning):
             # warning that timezone info will be lost
             ts.to_period("D")
 

From 8de04d17e4ec694266dfa17ee77dcbe967a1d369 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Sat, 6 Aug 2022 16:41:01 +0200
Subject: [PATCH 05/18] Removed overlooked DateTimeWarning from testing.rst.

---
 doc/source/reference/testing.rst | 1 -
 1 file changed, 1 deletion(-)

diff --git a/doc/source/reference/testing.rst b/doc/source/reference/testing.rst
index 1fe5d6108534e..338dd87aa8c62 100644
--- a/doc/source/reference/testing.rst
+++ b/doc/source/reference/testing.rst
@@ -31,7 +31,6 @@ Exceptions and warnings
    errors.CSSWarning
    errors.DatabaseError
    errors.DataError
-   errors.DateTimeWarning
    errors.DtypeWarning
    errors.DuplicateLabelError
    errors.EmptyDataError

From a067f8428b9fceed94020260a7952ff52980203c Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Sat, 6 Aug 2022 21:44:17 +0200
Subject: [PATCH 06/18] Added warning for Period creation with timestamp.
 Suppressed warning in matplotlib.

---
 pandas/_libs/tslibs/period.pyx                | 14 ++++-----
 pandas/plotting/_matplotlib/converter.py      |  5 ++-
 pandas/tests/arrays/test_datetimelike.py      |  2 +-
 .../datetimes/methods/test_to_period.py       | 16 ++++++----
 pandas/tests/resample/test_period_index.py    | 31 ++++++++++++-------
 5 files changed, 41 insertions(+), 27 deletions(-)

diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index 963b2e1765b83..1f2e21499a4ef 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -2585,13 +2585,6 @@ class Period(_Period):
                     reso = 'nanosecond'
             if dt is NaT:
                 ordinal = NPY_NAT
-            elif dt.tzinfo:
-                # GH 47005
-                warnings.warn(
-                    "The pandas.Period class does not support timezones. "
-                    "The timezone given in '%s' will be ignored." % value,
-                    UserWarning
-                )
 
             if freq is None:
                 try:
@@ -2621,6 +2614,13 @@ class Period(_Period):
             raise ValueError(msg)
 
         if ordinal is None:
+            if dt.tzinfo:
+                # GH 47005
+                warnings.warn(
+                    "The pandas.Period class does not support timezones. "
+                    "The timezone given in '%s' will be ignored." % value,
+                    UserWarning
+                )
             base = freq_to_dtype_code(freq)
             ordinal = period_ordinal(dt.year, dt.month, dt.day,
                                      dt.hour, dt.minute, dt.second,
diff --git a/pandas/plotting/_matplotlib/converter.py b/pandas/plotting/_matplotlib/converter.py
index 8510a7acac117..bde5f83e37f4a 100644
--- a/pandas/plotting/_matplotlib/converter.py
+++ b/pandas/plotting/_matplotlib/converter.py
@@ -14,6 +14,7 @@
     Iterator,
     cast,
 )
+import warnings
 
 from dateutil.relativedelta import relativedelta
 import matplotlib.dates as dates
@@ -261,7 +262,9 @@ def get_datevalue(date, freq):
     if isinstance(date, Period):
         return date.asfreq(freq).ordinal
     elif isinstance(date, (str, datetime, pydt.date, pydt.time, np.datetime64)):
-        return Period(date, freq).ordinal
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", UserWarning)
+            return Period(date, freq).ordinal
     elif (
         is_integer(date)
         or is_float(date)
diff --git a/pandas/tests/arrays/test_datetimelike.py b/pandas/tests/arrays/test_datetimelike.py
index ea895e5656ccb..61d377d2054ec 100644
--- a/pandas/tests/arrays/test_datetimelike.py
+++ b/pandas/tests/arrays/test_datetimelike.py
@@ -1070,7 +1070,7 @@ class TestPeriodArray(SharedTests):
     index_cls = PeriodIndex
     array_cls = PeriodArray
     scalar_type = Period
-    example_dtype = PeriodIndex([], freq="W").dtype
+    example_dtype = PeriodIndex([], freq="Q").dtype
 
     @pytest.fixture
     def arr1d(self, period_index):
diff --git a/pandas/tests/indexes/datetimes/methods/test_to_period.py b/pandas/tests/indexes/datetimes/methods/test_to_period.py
index f6a598bd2a1ed..bd47f224347be 100644
--- a/pandas/tests/indexes/datetimes/methods/test_to_period.py
+++ b/pandas/tests/indexes/datetimes/methods/test_to_period.py
@@ -117,11 +117,13 @@ def test_to_period_millisecond(self):
         )
 
         with tm.assert_produces_warning(UserWarning):
-            # warning that timezone info will be lost
+            # GH 21333 - warning that timezone info will be lost
             period = index.to_period(freq="L")
         assert 2 == len(period)
-        assert period[0] == Period("2007-01-01 10:11:12.123Z", "L")
-        assert period[1] == Period("2007-01-01 10:11:13.789Z", "L")
+        with tm.assert_produces_warning(UserWarning):
+            # GH 47005 - warning that timezone info will be lost
+            assert period[0] == Period("2007-01-01 10:11:12.123Z", "L")
+            assert period[1] == Period("2007-01-01 10:11:13.789Z", "L")
 
     def test_to_period_microsecond(self):
         index = DatetimeIndex(
@@ -132,11 +134,13 @@ def test_to_period_microsecond(self):
         )
 
         with tm.assert_produces_warning(UserWarning):
-            # warning that timezone info will be lost
+            # GH 21333 - warning that timezone info will be lost
             period = index.to_period(freq="U")
         assert 2 == len(period)
-        assert period[0] == Period("2007-01-01 10:11:12.123456Z", "U")
-        assert period[1] == Period("2007-01-01 10:11:13.789123Z", "U")
+        with tm.assert_produces_warning(UserWarning):
+            # GH 47005 - warning that timezone info will be lost
+            assert period[0] == Period("2007-01-01 10:11:12.123456Z", "U")
+            assert period[1] == Period("2007-01-01 10:11:13.789123Z", "U")
 
     @pytest.mark.parametrize(
         "tz",
diff --git a/pandas/tests/resample/test_period_index.py b/pandas/tests/resample/test_period_index.py
index 2aec6727d44df..4baa1ddc2f307 100644
--- a/pandas/tests/resample/test_period_index.py
+++ b/pandas/tests/resample/test_period_index.py
@@ -267,10 +267,12 @@ def test_with_local_timezone_pytz(self):
         with tm.assert_produces_warning(UserWarning):
             result = series.resample("D", kind="period").mean()
 
-        # Create the expected series
-        # Index is moved back a day with the timezone conversion from UTC to
-        # Pacific
-        expected_index = period_range(start=start, end=end, freq="D") - offsets.Day()
+            # Create the expected series
+            # Index is moved back a day with the timezone conversion from UTC to
+            # Pacific
+            expected_index = (
+                period_range(start=start, end=end, freq="D") - offsets.Day()
+            )
         expected = Series(1.0, index=expected_index)
         tm.assert_series_equal(result, expected)
 
@@ -306,14 +308,16 @@ def test_with_local_timezone_dateutil(self):
 
         series = Series(1, index=index)
         series = series.tz_convert(local_timezone)
-        result = series.resample("D", kind="period").mean()
+        # see gh-47005
+        with tm.assert_produces_warning(UserWarning):
+            result = series.resample("D", kind="period").mean()
 
-        # Create the expected series
-        # Index is moved back a day with the timezone conversion from UTC to
-        # Pacific
-        expected_index = (
-            period_range(start=start, end=end, freq="D", name="idx") - offsets.Day()
-        )
+            # Create the expected series
+            # Index is moved back a day with the timezone conversion from UTC to
+            # Pacific
+            expected_index = (
+                period_range(start=start, end=end, freq="D", name="idx") - offsets.Day()
+            )
         expected = Series(1.0, index=expected_index)
         tm.assert_series_equal(result, expected)
 
@@ -506,7 +510,10 @@ def test_resample_tz_localized(self):
         tm.assert_series_equal(result, expected)
 
         # for good measure
-        result = s.resample("D", kind="period").mean()
+        # see gh-47005
+        with tm.assert_produces_warning(UserWarning):
+            result = s.resample("D", kind="period").mean()
+
         ex_index = period_range("2001-09-20", periods=1, freq="D")
         expected = Series([1.5], index=ex_index)
         tm.assert_series_equal(result, expected)

From 57d8883cf2f48ea18f69c31f6ab9e5e8d1f5e6d0 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Sat, 6 Aug 2022 23:25:44 +0200
Subject: [PATCH 07/18] Suppress warning when indexing dataframe with string
 datetimes.

---
 pandas/core/indexes/datetimes.py       | 6 +++++-
 pandas/tests/indexing/test_datetime.py | 8 ++++++++
 2 files changed, 13 insertions(+), 1 deletion(-)

diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 30c770f32c2dc..531826bf11ee1 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -616,7 +616,11 @@ def _parsed_string_to_bounds(self, reso: Resolution, parsed: datetime):
         -------
         lower, upper: pd.Timestamp
         """
-        per = Period(parsed, freq=reso.attr_abbrev)
+        with warnings.catch_warnings():
+            # Period looses tzinfo. We ignore the corresponding warning here,
+            # and add the lost tzinfo below.
+            warnings.simplefilter("ignore", UserWarning)
+            per = Period(parsed, freq=reso.attr_abbrev)
         start, end = per.start_time, per.end_time
 
         # GH 24076
diff --git a/pandas/tests/indexing/test_datetime.py b/pandas/tests/indexing/test_datetime.py
index 8d498b59c55d1..d9dfe80ecfd2e 100644
--- a/pandas/tests/indexing/test_datetime.py
+++ b/pandas/tests/indexing/test_datetime.py
@@ -168,3 +168,11 @@ def test_getitem_str_slice_millisecond_resolution(self, frame_or_series):
             ],
         )
         tm.assert_equal(result, expected)
+
+
+def test_slice_with_datestring_tz():
+    # GH 24076
+    # GH 16785
+    df = DataFrame([0], index=pd.DatetimeIndex(["2019-01-01"], tz="US/Pacific"))
+    sliced = df["2019-01-01 12:00:00+04:00":"2019-01-01 13:00:00+04:00"]
+    tm.assert_frame_equal(sliced, df)

From b9e119efecd8e928cb9801ea90a7532fd38aa2ff Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 9 Aug 2022 18:53:04 +0200
Subject: [PATCH 08/18] warn with f-string instead of %

---
 pandas/_libs/tslibs/period.pyx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index 1f2e21499a4ef..025a699d6a873 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -2618,7 +2618,7 @@ class Period(_Period):
                 # GH 47005
                 warnings.warn(
                     "The pandas.Period class does not support timezones. "
-                    "The timezone given in '%s' will be ignored." % value,
+                    f"The timezone given in '{value}' will be ignored.",
                     UserWarning
                 )
             base = freq_to_dtype_code(freq)

From edf7de3eef440ebcfd7a7e9ae0f99bb24bac7214 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 13 Dec 2022 21:20:50 +0100
Subject: [PATCH 09/18] move changelog to correct .rst (part 1)

---
 doc/source/whatsnew/v1.4.4.rst | 1 -
 1 file changed, 1 deletion(-)

diff --git a/doc/source/whatsnew/v1.4.4.rst b/doc/source/whatsnew/v1.4.4.rst
index e1448546cd999..56b1254d8a359 100644
--- a/doc/source/whatsnew/v1.4.4.rst
+++ b/doc/source/whatsnew/v1.4.4.rst
@@ -46,7 +46,6 @@ Bug fixes
 - Bug in :meth:`.DataFrameGroupBy.value_counts` where ``subset`` had no effect (:issue:`46383`)
 - Bug when getting values with :meth:`DataFrame.loc` with a list of keys causing an internal inconsistency that could lead to a disconnect between ``frame.at[x, y]`` vs ``frame[y].loc[x]`` (:issue:`22372`)
 - Bug in the :meth:`Series.dt.strftime` accessor return a float instead of object dtype Series for all-NaT input, which also causes a spurious deprecation warning (:issue:`45858`)
-- :class:`Period` now raises a warning when created with data that contains timezone information. This is necessary because :class:`Period`, :class:`PeriodArray` and :class:`PeriodIndex` do not support timezones and hence drop any timezone information used when creating them. (:issue:`47005`)
 
 .. ---------------------------------------------------------------------------
 

From 4d8ee9b8a5484ba0c738b849586656a5f7171a34 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 13 Dec 2022 21:24:01 +0100
Subject: [PATCH 10/18] move whatsnew bullet to v1.5.3.rst

---
 doc/source/whatsnew/v1.5.3.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/source/whatsnew/v1.5.3.rst b/doc/source/whatsnew/v1.5.3.rst
index 581d28e10bd67..ab80e21e9adce 100644
--- a/doc/source/whatsnew/v1.5.3.rst
+++ b/doc/source/whatsnew/v1.5.3.rst
@@ -29,6 +29,7 @@ Bug fixes
 - Bug in :meth:`.Styler.to_excel` leading to error when unrecognized ``border-style`` (e.g. ``"hair"``) provided to Excel writers (:issue:`48649`)
 - Bug when chaining several :meth:`.Styler.concat` calls, only the last styler was concatenated (:issue:`49207`)
 - Fixed bug when instantiating a :class:`DataFrame` subclass inheriting from ``typing.Generic`` that triggered a ``UserWarning`` on python 3.11 (:issue:`49649`)
+- :class:`Period` now raises a warning when created with data that contains timezone information. This is necessary because :class:`Period`, :class:`PeriodArray` and :class:`PeriodIndex` do not support timezones and hence drop any timezone information used when creating them. (:issue:`47005`)
 -
 
 .. ---------------------------------------------------------------------------

From ca24736efb80576e0485644b0dd64497ba291fbf Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 13 Dec 2022 21:37:38 +0100
Subject: [PATCH 11/18] re-introduce test for week period

---
 pandas/tests/indexes/period/test_period_range.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index b9e6afe769829..0fb3b27e384dc 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -20,7 +20,16 @@ def test_required_arguments(self):
         with pytest.raises(ValueError, match=msg):
             period_range("2011-1-1", "2012-1-1", "B")
 
-    @pytest.mark.parametrize("freq", ["D", "M", "Q", "A"])
+    @pytest.mark.parametrize(
+        "freq",
+        [
+            "D",
+            pytest.param("W", marks=pytest.mark.filterwarnings("ignore:.*timezone")),
+            "M",
+            "Q",
+            "A",
+        ]
+    )
     def test_construction_from_string(self, freq):
         # non-empty
         expected = date_range(

From d398265195c03952bdf4a9f6d84d4b5bc60115a0 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 13 Dec 2022 21:47:26 +0100
Subject: [PATCH 12/18] Fix broken merge (missing import)

---
 pandas/_libs/tslibs/period.pyx | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index 317c20e13a215..23c4629d757f2 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -1,3 +1,5 @@
+import warnings
+
 cimport numpy as cnp
 from cpython.object cimport (
     Py_EQ,

From 84621a0920ff87bfabc67608f864d1df9be7759f Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 13 Dec 2022 22:12:19 +0100
Subject: [PATCH 13/18] black

---
 pandas/tests/indexes/period/test_period_range.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index 0fb3b27e384dc..9e62c661b66f0 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -28,7 +28,7 @@ def test_required_arguments(self):
             "M",
             "Q",
             "A",
-        ]
+        ],
     )
     def test_construction_from_string(self, freq):
         # non-empty

From 55fbbab6d8f7168be4de65b70c44d8182dccfff0 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Tue, 13 Dec 2022 23:11:58 +0100
Subject: [PATCH 14/18] increment warning stacklevel

---
 pandas/_libs/tslibs/period.pyx | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index 23c4629d757f2..2662ffd99e4ce 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -2620,7 +2620,8 @@ class Period(_Period):
                 warnings.warn(
                     "The pandas.Period class does not support timezones. "
                     f"The timezone given in '{value}' will be ignored.",
-                    UserWarning
+                    UserWarning,
+                    stacklevel=2
                 )
             base = freq_to_dtype_code(freq)
             ordinal = period_ordinal(dt.year, dt.month, dt.day,

From 441d17c29c1dbd6144e0f702e2d12e795b659e8e Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Wed, 14 Dec 2022 09:11:32 +0100
Subject: [PATCH 15/18] revert stacklevel change

---
 pandas/_libs/tslibs/period.pyx | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index 2662ffd99e4ce..23c4629d757f2 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -2620,8 +2620,7 @@ class Period(_Period):
                 warnings.warn(
                     "The pandas.Period class does not support timezones. "
                     f"The timezone given in '{value}' will be ignored.",
-                    UserWarning,
-                    stacklevel=2
+                    UserWarning
                 )
             base = freq_to_dtype_code(freq)
             ordinal = period_ordinal(dt.year, dt.month, dt.day,

From abf431e964a398caf8de8603da8acd340144a210 Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Wed, 14 Dec 2022 09:12:35 +0100
Subject: [PATCH 16/18] remove stacklevel check

I couldn't pin down why the tests think, the stacklevel is wrong. In the stock python interpreter, the warning message refers to the correct line.
---
 pandas/tests/indexes/period/test_period_range.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index 9e62c661b66f0..4c56a5b4750e8 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -132,7 +132,7 @@ def test_errors(self):
 
 def test_range_tz():
     # GH 47005 Time zone should be ignored with warning.
-    with tm.assert_produces_warning(UserWarning):
+    with tm.assert_produces_warning(UserWarning, check_stacklevel=False):
         pi_tz = period_range(
             "2022-01-01 06:00:00+02:00", "2022-01-01 09:00:00+02:00", freq="H"
         )

From cecc73888db416b17c1d0813252dbcd2d61e8c4c Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Wed, 14 Dec 2022 22:35:02 +0100
Subject: [PATCH 17/18] re-include stacklevel check

---
 pandas/tests/indexes/period/test_period_range.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index 4c56a5b4750e8..9e62c661b66f0 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -132,7 +132,7 @@ def test_errors(self):
 
 def test_range_tz():
     # GH 47005 Time zone should be ignored with warning.
-    with tm.assert_produces_warning(UserWarning, check_stacklevel=False):
+    with tm.assert_produces_warning(UserWarning):
         pi_tz = period_range(
             "2022-01-01 06:00:00+02:00", "2022-01-01 09:00:00+02:00", freq="H"
         )

From b5a2b8eed7c2a3d67920c29bc91c888dad082e2b Mon Sep 17 00:00:00 2001
From: joooeey <lukas.schreiber@gmx.at>
Date: Wed, 14 Dec 2022 22:55:00 +0100
Subject: [PATCH 18/18] Add comment with reference to GitHub issue.

---
 pandas/tests/indexes/period/test_period_range.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py
index 9e62c661b66f0..15334ca2e8c53 100644
--- a/pandas/tests/indexes/period/test_period_range.py
+++ b/pandas/tests/indexes/period/test_period_range.py
@@ -24,6 +24,7 @@ def test_required_arguments(self):
         "freq",
         [
             "D",
+            # Parsing week strings is not fully supported. See GH 48000.
             pytest.param("W", marks=pytest.mark.filterwarnings("ignore:.*timezone")),
             "M",
             "Q",