Pandas 2.1 requires python>3.9

.github/workflows/test.yml

@@ -18,7 +18,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.9', '3.10', '3.11']
 
     steps:
     - uses: actions/checkout@v3

.pre-commit-config.yaml

@@ -11,12 +11,12 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.285
+    rev: v0.0.286
     hooks:
     -   id: ruff
         args: [
           --exit-non-zero-on-fix,
-          --target-version, py38,
+          --target-version, py39,
           --extend-select, "PYI,UP,RUF100",
           --ignore, "E501,E731,F841,PYI042",
           --per-file-ignores, "_*.pyi:PYI001",

pandas-stubs/_libs/tslibs/timestamps.pyi

@@ -1,11 +1,11 @@
 from datetime import (
+    _IsoCalendarDate,
     date as _date,
     datetime,
     time as _time,
     timedelta,
     tzinfo as _tzinfo,
 )
-import sys
 from time import struct_time
 from typing import (
     ClassVar,
@@ -46,11 +46,6 @@ _Nonexistent: TypeAlias = (
     Literal["raise", "NaT", "shift_backward", "shift_forward"] | Timedelta | timedelta
 )
 
-if sys.version_info >= (3, 9):
-    from datetime import _IsoCalendarDate
-else:
-    _IsoCalendarDate: TypeAlias = tuple[int, int, int]
-
 class Timestamp(datetime):
     min: ClassVar[Timestamp]
     max: ClassVar[Timestamp]

pandas-stubs/core/base.pyi

@@ -1,6 +1,6 @@
+from collections.abc import Iterator
 from typing import (
     Generic,
-    Iterator,
     Literal,
 )
 

pyproject.toml

@@ -16,7 +16,6 @@ classifiers = [
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3 :: Only",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
@@ -31,12 +30,9 @@ packages = [
 "Documentation" = "https://pandas.pydata.org/pandas-docs/stable"
 
 [tool.poetry.dependencies]
-python = ">=3.8"
+python = ">=3.9"
 types-pytz = ">= 2022.1.1"
-numpy = [
-    {version = "<=1.24.3", python = "<=3.8"},
-    {version = ">=1.25.0", python = ">=3.9"}
-]
+numpy = ">=1.25.0"
 
 [tool.poetry.dev-dependencies]
 mypy = "1.5.1"
@@ -116,7 +112,7 @@ args = [{ name = "allowlist", positional = true, default = "", required = false,
 
 
 [tool.black]
-target-version = ['py38']
+target-version = ['py39']
 
 [tool.isort]
 known_pre_libs = "pandas._config"

scripts/_job.py

@@ -1,10 +1,9 @@
+from collections import deque
 from dataclasses import dataclass
 import sys
 import time
 from typing import (
     Callable,
-    Deque,
-    List,
     Optional,
 )
 
@@ -18,7 +17,7 @@ class Step:
     rollback: Optional[Callable[[], None]] = None
 
 
-def __rollback_job(steps: Deque[Step]):
+def __rollback_job(steps: deque[Step]):
     """
     Responsible to run rollback of steps.
     """
@@ -35,12 +34,12 @@ def __rollback_job(steps: Deque[Step]):
                 )
 
 
-def run_job(steps: List[Step]) -> None:
+def run_job(steps: list[Step]) -> None:
     """
     Responsible to run steps with logs.
     """
 
-    rollback_steps = Deque[Step]()
+    rollback_steps = deque[Step]()
     failed = False
 
     for step in steps:

tests/test_api_types.py

@@ -1,5 +1,3 @@
-from typing import Type
-
 import numpy as np
 import pandas as pd
 from pandas.api.extensions import ExtensionDtype
@@ -468,7 +466,7 @@ def test_union_categoricals() -> None:
 
 def test_check_extension_dtypes() -> None:
     # GH 315
-    def check_ext_dtype(etype: Type[ExtensionDtype]):
+    def check_ext_dtype(etype: type[ExtensionDtype]):
         assert issubclass(etype, ExtensionDtype)
 
     check_ext_dtype(pd.Int64Dtype)

tests/test_dtypes.py

@@ -14,8 +14,10 @@
 import numpy as np
 import pandas as pd
 from pandas.api.types import is_any_real_numeric_dtype
-from pandas.core.arrays import BooleanArray  # noqa: F401
-from pandas.core.arrays import IntegerArray  # noqa: F401
+from pandas.core.arrays import (
+    BooleanArray,
+    IntegerArray,
+)
 import pyarrow as pa
 from typing_extensions import assert_type
 
@@ -96,7 +98,7 @@ def test_int64_dtype() -> None:
     i64dt = pd.Int64Dtype()
     check(assert_type(i64dt.itemsize, int), int)
     check(assert_type(i64dt.na_value, NAType), NAType)
-    check(assert_type(i64dt.construct_array_type(), "type[IntegerArray]"), type)
+    check(assert_type(i64dt.construct_array_type(), type[IntegerArray]), type)
 
 
 def test_categorical_dtype() -> None:
@@ -138,7 +140,7 @@ def test_boolean_dtype() -> None:
     b_dt = pd.BooleanDtype()
     check(assert_type(b_dt, pd.BooleanDtype), pd.BooleanDtype)
     check(assert_type(b_dt.na_value, NAType), NAType)
-    check(assert_type(b_dt.construct_array_type(), "type[BooleanArray]"), type)
+    check(assert_type(b_dt.construct_array_type(), type[BooleanArray]), type)
 
 
 def test_arrow_dtype() -> None: