Update deps

Includes changes to support Pandas 3.0 (xcals now explicitly defines Timestamp resolutions following change to pandas inference ruiles).

Also corrects license specification in pyproject.toml to 'Apache-2.0'.

Author: maread99

.github/workflows/benchmark.yml

@@ -22,7 +22,7 @@ jobs:
     - name: Run benchmark
       run: uv run -- pytest etc/bench.py --benchmark-json output.json
     - name: Download previous benchmark data
-      uses: actions/cache@v5.0.1
+      uses: actions/cache@v5.0.3
       with:
         path: ./cache
         key: ${{ runner.os }}-benchmark

.github/workflows/main.yml

@@ -24,7 +24,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: ["3.10", "3.13"]
+        python-version: ["3.10", "3.14"]
 
     steps:
     - uses: actions/checkout@v6
@@ -53,8 +53,8 @@ jobs:
     - name: Set up minimum environment and run tests
       shell: bash
       run: |
-        if [ "${{ matrix.python-version }}" == "3.13" ]; then
-          GROUP="test_py13"
+        if [ "${{ matrix.python-version }}" == "3.14" ]; then
+          GROUP="test_py14"
         else
           GROUP="test_min"
         fi

.python-version

@@ -1 +1 @@
-3.10
+>=3.10

exchange_calendars/exchange_calendar.py

@@ -369,6 +369,12 @@ def __init__(
 
         break_starts = None if self._break_starts is None else self._break_starts
         break_ends = None if self._break_ends is None else self._break_ends
+        # NOTE can lose the if line when min supported version of pandas bumps to
+        # 2.0 (`as_unit`` introduced in pandas 2.0). Indeed could then remove the whole
+        # if clause and amend index parameter below to take `_all_days.as_unit("ns")`.
+        # NB pre v3.0 pandas infers resolution here as "ns", not so in v3.
+        if pd.__version__ >= "3.0.0":
+            _all_days = _all_days.as_unit("ns")
         self.schedule = pd.DataFrame(
             index=_all_days,
             data=collections.OrderedDict(
@@ -389,8 +395,15 @@ def __init__(
 
         _check_breaks_match(self.break_starts_nanos, self.break_ends_nanos)
 
-        self._late_opens = _special_opens.index
-        self._early_closes = _special_closes.index
+        # NOTE If / when min pandas bumps to 2.0 can reduce all the following to just
+        # the content of the if clause. (`as_unit`` introduced in pandas 2.0).
+        # NB pre v3.0 pandas infers resolution here as "ns", not so in v3.
+        if pd.__version__ >= "3.0.0":
+            self._late_opens = _special_opens.index.as_unit("ns")
+            self._early_closes = _special_closes.index.as_unit("ns")
+        else:
+            self._late_opens = _special_opens.index
+            self._early_closes = _special_closes.index
 
     # --------------- Calendar definition methods/properties --------------
     # Methods and properties in this section should be overriden or

exchange_calendars/utils/pandas_utils.py

@@ -144,7 +144,7 @@ def indexes_union(indexes: list[pd.Index]) -> pd.Index:
     DatetimeIndex(['2021-05-01 12:20:00', '2021-05-01 13:20:00',
                    '2021-05-02 17:10:00', '2021-05-02 17:32:00',
                    '2021-05-03 00:00:00', '2021-05-04 00:00:00'],
-                  dtype='datetime64[ns]', freq=None)
+                  dtype='datetime64[us]', freq=None)
     """
     index = indexes[0]
     for indx in indexes[1:]:

pyproject.toml

@@ -10,7 +10,7 @@ authors = [
   {name = "Gerry Manoim"}
 ]
 readme = "README.md"
-license = "APSL-2.0"
+license = "Apache-2.0"
 keywords = ["finance", "security", "calendar", "exchange"]
 requires-python = ">=3.10, <4"
 classifiers = [
@@ -21,6 +21,7 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
     "Intended Audience :: Science/Research",
     "Topic :: Scientific/Engineering",
     "Topic :: Scientific/Engineering :: Mathematics",
@@ -48,13 +49,13 @@ test_min = [
     {include-group = "test"},
     "numpy==1.26.4",
 ]
-# Separate group required for test jobs running on python 3.13.
-# Should be able to remove this provision once numpy and pandas officially support python 3.13, allowing uv to resolve accordingly
-test_py13 = [
+# Separate group required for test jobs running on python >= 3.14.
+# Might be able to remove this provision if/when bump min pandas to 2.0 and numpy to 2.0
+test_py14 = [
     {include-group = "test"},
-    "numpy>=2.1; python_version<'3.13'",
-    "numpy>=2.3.3; python_version>='3.13'",
-    "pandas>=2.3; python_version>='3.13'",
+    "numpy>=2.1; python_version<'3.14'",
+    "numpy>=2.3.2; python_version>='3.14'",
+    "pandas>=2.3.3; python_version>='3.14'",
 ]
 
 dev = [
@@ -77,7 +78,7 @@ trusted-publishing = "always"
 conflicts = [
     [
       { group = "test_min" },
-      { group = "test_py13" },
+      { group = "test_py14" },
     ],
 ]
 
@@ -111,7 +112,7 @@ testpaths = [
 # Settings for tools previously used by project
 [tool.black]
 line-length = 88
-target-version = ["py310", "py311", "py312", "py313"]
+target-version = ["py310", "py311", "py312", "py313", "py314"]
 
 [tool.flake8]
 max-line-length = 88

requirements.txt

@@ -6,17 +6,19 @@ numpy==2.2.6 ; python_full_version < '3.11'
     # via
     #   exchange-calendars
     #   pandas
-numpy==2.4.1 ; python_full_version >= '3.11'
+numpy==2.4.2 ; python_full_version >= '3.11'
     # via
     #   exchange-calendars
     #   pandas
-pandas==2.3.3
+pandas==2.3.3 ; python_full_version < '3.11'
+    # via exchange-calendars
+pandas==3.0.0 ; python_full_version >= '3.11'
     # via exchange-calendars
 pyluach==2.3.0
     # via exchange-calendars
 python-dateutil==2.9.0.post0
     # via pandas
-pytz==2025.2
+pytz==2025.2 ; python_full_version < '3.11'
     # via pandas
 six==1.17.0
     # via python-dateutil

tests/test_exchange_calendar.py

@@ -183,11 +183,19 @@ def get_csv(name: str) -> pd.DataFrame:
     )
     if df.index.tz is not None:
         df.index = df.index.tz_convert(None)
+    # NOTE When min supported version of pandas bumps to 2.0 will be able to lose the
+    # if pd.__version__ >= "3.0.0" lines  and just conver to as_unit in all cases
+    # (`as_unit`` introduced in pandas 2.0).
+    # NB pre v3.0 pandas infers resolution here as "ns", not so in v3.
     for col in df:
+        if pd.__version__ >= "3.0.0":
+            df[col] = df[col].dt.as_unit("ns")
         if df[col].dt.tz is None:
             df[col] = df[col].dt.tz_localize(UTC)
         else:
             df[col] = df[col].dt.tz_convert(UTC)
+    if pd.__version__ >= "3.0.0":
+        df.index = df.index.as_unit("ns")
     return df