CLN: Drop Numpy 1.22 per NEP29 (pandas-dev#56838)

Author: lithomas1

ci/deps/actions-39-minimum_versions.yaml

@@ -22,7 +22,7 @@ dependencies:
 
   # required dependencies
   - python-dateutil=2.8.2
-  - numpy=1.22.4
+  - numpy=1.23.5
   - pytz=2020.1
 
   # optional dependencies

doc/source/getting_started/install.rst

@@ -203,7 +203,7 @@ pandas requires the following dependencies.
 ================================================================ ==========================
 Package                                                          Minimum supported version
 ================================================================ ==========================
-`NumPy <https://numpy.org>`__                                    1.22.4
+`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

doc/source/whatsnew/v2.3.0.rst

@@ -65,7 +65,7 @@ If installed, we now require:
 +-----------------+-----------------+----------+---------+
 | Package         | Minimum Version | Required | Changed |
 +=================+=================+==========+=========+
-|                 |                 |    X     |    X    |
+| numpy           | 1.23.5          |    X     |    X    |
 +-----------------+-----------------+----------+---------+
 
 For `optional libraries <https://pandas.pydata.org/docs/getting_started/install.html>`_ the general recommendation is to use the latest version.

pandas/compat/numpy/__init__.py

@@ -8,13 +8,12 @@
 # numpy versioning
 _np_version = np.__version__
 _nlv = Version(_np_version)
-np_version_lt1p23 = _nlv < Version("1.23")
 np_version_gte1p24 = _nlv >= Version("1.24")
 np_version_gte1p24p3 = _nlv >= Version("1.24.3")
 np_version_gte1p25 = _nlv >= Version("1.25")
 np_version_gt2 = _nlv >= Version("2.0.0.dev0")
 is_numpy_dev = _nlv.dev is not None
-_min_numpy_ver = "1.22.4"
+_min_numpy_ver = "1.23.5"
 
 
 if _nlv < Version(_min_numpy_ver):

pandas/tests/interchange/test_impl.py

@@ -8,7 +8,6 @@
     is_ci_environment,
     is_platform_windows,
 )
-from pandas.compat.numpy import np_version_lt1p23
 
 import pandas as pd
 import pandas._testing as tm
@@ -260,7 +259,6 @@ def test_datetime():
     tm.assert_frame_equal(df, from_dataframe(df.__dataframe__()))
 
 
-@pytest.mark.skipif(np_version_lt1p23, reason="Numpy > 1.23 required")
 def test_categorical_to_numpy_dlpack():
     # https://github.com/pandas-dev/pandas/issues/48393
     df = pd.DataFrame({"A": pd.Categorical(["a", "b", "a"])})

pyproject.toml

@@ -30,8 +30,7 @@ authors = [
 license = {file = 'LICENSE'}
 requires-python = '>=3.9'
 dependencies = [
-  "numpy>=1.22.4; python_version<'3.11'",
-  "numpy>=1.23.2; python_version=='3.11'",
+  "numpy>=1.23.5; python_version<'3.12'",
   "numpy>=1.26.0; python_version>='3.12'",
   "python-dateutil>=2.8.2",
   "pytz>=2020.1",