DEPS: Make pytz an optional dependency

.circleci/config.yml

@@ -34,7 +34,7 @@ jobs:
           /opt/python/cp311-cp311/bin/python -m venv ~/virtualenvs/pandas-dev
           . ~/virtualenvs/pandas-dev/bin/activate
           python -m pip install --no-cache-dir -U pip wheel setuptools meson-python==0.13.1 meson[ninja]==1.2.1
-          python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytz pytest>=7.3.2 pytest-xdist>=2.2.0 hypothesis>=6.46.1
+          python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytest>=7.3.2 pytest-xdist>=2.2.0 hypothesis>=6.46.1
           python -m pip install --no-cache-dir --no-build-isolation -e . --config-settings=setup-args="--werror"
           python -m pip list --no-cache-dir
       - run: |

.github/workflows/unit-tests.yml

@@ -245,7 +245,7 @@ jobs:
           . ~/virtualenvs/pandas-dev/bin/activate
           python -m pip install --no-cache-dir -U pip wheel setuptools meson[ninja]==1.2.1 meson-python==0.13.1
           python -m pip install numpy --config-settings=setup-args="-Dallow-noblas=true"
-          python -m pip install --no-cache-dir versioneer[toml] cython python-dateutil pytz pytest>=7.3.2 pytest-xdist>=2.2.0 hypothesis>=6.46.1
+          python -m pip install --no-cache-dir versioneer[toml] cython python-dateutil pytest>=7.3.2 pytest-xdist>=2.2.0 hypothesis>=6.46.1
           python -m pip install --no-cache-dir --no-build-isolation -e . --config-settings=setup-args="--werror"
           python -m pip list --no-cache-dir
           export PANDAS_CI=1
@@ -283,7 +283,7 @@ jobs:
           /opt/python/cp311-cp311/bin/python -m venv ~/virtualenvs/pandas-dev
           . ~/virtualenvs/pandas-dev/bin/activate
           python -m pip install --no-cache-dir -U pip wheel setuptools meson-python==0.13.1 meson[ninja]==1.2.1
-          python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytz pytest>=7.3.2 pytest-xdist>=2.2.0 hypothesis>=6.46.1
+          python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytest>=7.3.2 pytest-xdist>=2.2.0 hypothesis>=6.46.1
           python -m pip install --no-cache-dir --no-build-isolation -e . --config-settings=setup-args="--werror"
           python -m pip list --no-cache-dir
 
@@ -304,7 +304,7 @@ jobs:
     # In general, this will remain frozen(present, but not running) until:
     #    - The next unreleased Python version has released beta 1
     #      - This version should be available on GitHub Actions.
-    #    - Our required build/runtime dependencies(numpy, pytz, Cython, python-dateutil)
+    #    - Our required build/runtime dependencies(numpy, Cython, python-dateutil)
     #      support that unreleased Python version.
     #    To unfreeze, comment out the ``if: false`` condition, and make sure you update
     #    the name of the workflow and Python version in actions/setup-python ``python-version:``
@@ -357,7 +357,7 @@ jobs:
           python -m pip install --upgrade pip setuptools wheel meson[ninja]==1.2.1 meson-python==0.13.1
           python -m pip install --pre --extra-index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
           python -m pip install versioneer[toml]
-          python -m pip install python-dateutil pytz tzdata cython hypothesis>=6.46.1 pytest>=7.3.2 pytest-xdist>=2.2.0 pytest-cov
+          python -m pip install python-dateutil tzdata cython hypothesis>=6.46.1 pytest>=7.3.2 pytest-xdist>=2.2.0 pytest-cov
           python -m pip install -ve . --no-build-isolation --no-index --no-deps --config-settings=setup-args="--werror"
           python -m pip list
 

README.md

@@ -115,7 +115,6 @@ details, see the commit logs at https://github.com/pandas-dev/pandas.
 ## Dependencies
 - [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)
 - [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)
-- [pytz - Brings the Olson tz database into Python which allows accurate and cross platform timezone calculations](https://github.com/stub42/pytz)
 
 See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies.
 

asv_bench/benchmarks/tslibs/timestamp.py

@@ -1,7 +1,10 @@
-from datetime import datetime
+from datetime import (
+    datetime,
+    timezone,
+)
+import zoneinfo
 
 import numpy as np
-import pytz
 
 from pandas import Timestamp
 
@@ -12,7 +15,7 @@ class TimestampConstruction:
     def setup(self):
         self.npdatetime64 = np.datetime64("2020-01-01 00:00:00")
         self.dttime_unaware = datetime(2020, 1, 1, 0, 0, 0)
-        self.dttime_aware = datetime(2020, 1, 1, 0, 0, 0, 0, pytz.UTC)
+        self.dttime_aware = datetime(2020, 1, 1, 0, 0, 0, 0, timezone.utc)
         self.ts = Timestamp("2020-01-01 00:00:00")
 
     def time_parse_iso8601_no_tz(self):
@@ -113,7 +116,7 @@ def setup(self, tz):
         self.ts = Timestamp("2017-08-25 08:16:14", tz=tz)
 
     def time_replace_tz(self, tz):
-        self.ts.replace(tzinfo=pytz.timezone("US/Eastern"))
+        self.ts.replace(tzinfo=zoneinfo.ZoneInfo("US/Eastern"))
 
     def time_replace_None(self, tz):
         self.ts.replace(tzinfo=None)
@@ -144,8 +147,8 @@ def time_ceil(self, tz):
 
 class TimestampAcrossDst:
     def setup(self):
-        dt = datetime(2016, 3, 27, 1)
-        self.tzinfo = pytz.timezone("CET").localize(dt, is_dst=False).tzinfo
+        dt = datetime(2016, 3, 27, 1, fold=0)
+        self.tzinfo = dt.astimezone(zoneinfo.ZoneInfo("Europe/Berlin")).tzinfo
         self.ts2 = Timestamp(dt)
 
     def time_replace_across_dst(self):

asv_bench/benchmarks/tslibs/tslib.py

@@ -19,13 +19,13 @@
     timedelta,
     timezone,
 )
+import zoneinfo
 
 from dateutil.tz import (
     gettz,
     tzlocal,
 )
 import numpy as np
-import pytz
 
 try:
     from pandas._libs.tslibs import ints_to_pydatetime
@@ -37,7 +37,7 @@
     None,
     timezone.utc,
     timezone(timedelta(minutes=60)),
-    pytz.timezone("US/Pacific"),
+    zoneinfo.ZoneInfo("US/Pacific"),
     gettz("Asia/Tokyo"),
     tzlocal_obj,
 ]

asv_bench/benchmarks/tslibs/tz_convert.py

@@ -1,5 +1,6 @@
+from datetime import timezone
+
 import numpy as np
-from pytz import UTC
 
 from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
 
@@ -41,7 +42,7 @@ def time_tz_convert_from_utc(self, size, tz):
         #  dti = DatetimeIndex(self.i8data, tz=tz)
         #  dti.tz_localize(None)
         if old_sig:
-            tz_convert_from_utc(self.i8data, UTC, tz)
+            tz_convert_from_utc(self.i8data, timezone.utc, tz)
         else:
             tz_convert_from_utc(self.i8data, tz)
 

ci/deps/actions-310.yaml

@@ -20,7 +20,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # optional dependencies
   - beautifulsoup4>=4.11.2
@@ -46,6 +45,7 @@ dependencies:
   - pyreadstat>=1.2.0
   - pytables>=3.8.0
   - python-calamine>=0.1.7
+  - pytz>=2023.3
   - pyxlsb>=1.0.10
   - s3fs>=2022.11.0
   - scipy>=1.10.0

ci/deps/actions-311-downstream_compat.yaml

@@ -22,7 +22,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # optional dependencies
   - beautifulsoup4>=4.11.2
@@ -48,6 +47,7 @@ dependencies:
   - pyreadstat>=1.2.0
   - pytables>=3.8.0
   - python-calamine>=0.1.7
+  - pytz>=2023.3
   - pyxlsb>=1.0.10
   - s3fs>=2022.11.0
   - scipy>=1.10.0

ci/deps/actions-311-numpydev.yaml

@@ -21,7 +21,6 @@ dependencies:
 
   # pandas dependencies
   - python-dateutil
-  - pytz
   - pip
 
   - pip:

ci/deps/actions-311-pyarrownightly.yaml

@@ -19,7 +19,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
   - pip
 
   - pip:

ci/deps/actions-311-sanitizers.yaml

@@ -23,7 +23,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # pandas dependencies
   - pip

ci/deps/actions-311.yaml

@@ -20,7 +20,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # optional dependencies
   - beautifulsoup4>=4.11.2
@@ -46,6 +45,7 @@ dependencies:
   - pyreadstat>=1.2.0
   - pytables>=3.8.0
   - python-calamine>=0.1.7
+  - pytz>=2023.3
   - pyxlsb>=1.0.10
   - s3fs>=2022.11.0
   - scipy>=1.10.0

ci/deps/actions-312.yaml

@@ -20,7 +20,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # optional dependencies
   - beautifulsoup4>=4.11.2
@@ -46,6 +45,7 @@ dependencies:
   - pyreadstat>=1.2.0
   # - pytables>=3.8.0
   - python-calamine>=0.1.7
+  - pytz>=2023.3
   - pyxlsb>=1.0.10
   - s3fs>=2022.11.0
   - scipy>=1.10.0

ci/deps/actions-39-minimum_versions.yaml

@@ -23,7 +23,6 @@ dependencies:
   # required dependencies
   - python-dateutil=2.8.2
   - numpy=1.23.5
-  - pytz=2020.1
 
   # optional dependencies
   - beautifulsoup4=4.11.2
@@ -49,6 +48,7 @@ dependencies:
   - pyreadstat=1.2.0
   - pytables=3.8.0
   - python-calamine=0.1.7
+  - pytz=2023.3
   - pyxlsb=1.0.10
   - s3fs=2022.11.0
   - scipy=1.10.0

ci/deps/actions-39.yaml

@@ -20,7 +20,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # optional dependencies
   - beautifulsoup4>=4.11.2
@@ -46,6 +45,7 @@ dependencies:
   - pyreadstat>=1.2.0
   - pytables>=3.8.0
   - python-calamine>=0.1.7
+  - pytz>=2023.3
   - pyxlsb>=1.0.10
   - s3fs>=2022.11.0
   - scipy>=1.10.0

ci/deps/actions-pypy-39.yaml

@@ -22,6 +22,5 @@ dependencies:
   # required
   - numpy
   - python-dateutil
-  - pytz
   - pip:
     - tzdata>=2022.7

ci/deps/circle-310-arm64.yaml

@@ -21,7 +21,6 @@ dependencies:
   # required dependencies
   - python-dateutil
   - numpy
-  - pytz
 
   # optional dependencies
   - beautifulsoup4>=4.11.2
@@ -47,6 +46,7 @@ dependencies:
   - pyreadstat>=1.2.0
   - pytables>=3.8.0
   - python-calamine>=0.1.7
+  - pytz>=2023.3
   - pyxlsb>=1.0.10
   - s3fs>=2022.11.0
   - scipy>=1.10.0

ci/meta.yaml

@@ -37,7 +37,6 @@ requirements:
     - numpy >=1.21.6  # [py<311]
     - numpy >=1.23.2  # [py>=311]
     - python-dateutil >=2.8.2
-    - pytz >=2020.1
     - python-tzdata >=2022.7
 
 test:

doc/source/getting_started/install.rst

@@ -205,7 +205,6 @@ Package                                                          Minimum support
 ================================================================ ==========================
 `NumPy <https://numpy.org>`__                                    1.23.5
 `python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__ 2.8.2
-`pytz <https://pypi.org/project/pytz/>`__                        2020.1
 `tzdata <https://pypi.org/project/tzdata/>`__                    2022.7
 ================================================================ ==========================
 
@@ -428,3 +427,14 @@ Dependency                Minimum Version    pip extra           Notes
 ========================= ================== =================== =============================================================
 dataframe-api-compat      0.1.7              consortium-standard Consortium Standard-compatible implementation based on pandas
 ========================= ================== =================== =============================================================
+
+Timezone
+^^^^^^^^
+
+Installable with ``pip install "pandas[timezone]"``
+
+========================= ================== =================== =============================================================
+Dependency                Minimum Version    pip extra           Notes
+========================= ================== =================== =============================================================
+pytz                      2023.3             timezone            Alternative timezone library to ``zoneinfo``.
+========================= ================== =================== =============================================================

doc/source/reference/testing.rst

@@ -24,6 +24,7 @@ Exceptions and warnings
 .. autosummary::
    :toctree: api/
 
+   errors.AmbiguousTimeError
    errors.AbstractMethodError
    errors.AttributeConflictWarning
    errors.CategoricalConversionWarning
@@ -45,6 +46,7 @@ Exceptions and warnings
    errors.LossySetitemError
    errors.MergeError
    errors.NoBufferPresent
+   errors.NonExistentTimeError
    errors.NullFrequencyError
    errors.NumbaUtilError
    errors.NumExprClobberingError

doc/source/user_guide/io.rst

@@ -5095,7 +5095,7 @@ Caveats
   convenience you can use ``store.flush(fsync=True)`` to do this for you.
 * Once a ``table`` is created columns (DataFrame)
   are fixed; only exactly the same columns can be appended
-* Be aware that timezones (e.g., ``pytz.timezone('US/Eastern')``)
+* Be aware that timezones (e.g., ``zoneinfo.ZoneInfo('US/Eastern')``)
   are not necessarily equal across timezone versions.  So if data is
   localized to a specific timezone in the HDFStore using one version
   of a timezone library and that data is updated with another version, the data
@@ -5357,6 +5357,8 @@ See the documentation for `pyarrow <https://arrow.apache.org/docs/python/>`__ an
 
 .. ipython:: python
 
+   import pytz
+
    df = pd.DataFrame(
        {
            "a": list("abc"),
@@ -5365,7 +5367,7 @@ See the documentation for `pyarrow <https://arrow.apache.org/docs/python/>`__ an
            "d": np.arange(4.0, 7.0, dtype="float64"),
            "e": [True, False, True],
            "f": pd.date_range("20130101", periods=3),
-           "g": pd.date_range("20130101", periods=3, tz="US/Eastern"),
+           "g": pd.date_range("20130101", periods=3, tz=pytz.timezone("US/Eastern")),
            "h": pd.Categorical(list("abc")),
            "i": pd.Categorical(list("abc"), ordered=True),
        }