Merge branch 'main' into fix-loc-dtype

Author: sanggon6107

README.md

@@ -5,7 +5,7 @@
 
 -----------------
 
-# pandas: powerful Python data analysis toolkit
+# pandas: A Powerful Python Data Analysis Toolkit
 
 | | |
 | --- | --- |

ci/deps/actions-310-minimum_versions.yaml

@@ -18,7 +18,7 @@ dependencies:
   - pytest-xdist>=3.4.0
   - pytest-localserver>=0.8.1
   - pytest-qt>=4.4.0
-  - boto3
+  - boto3=1.37.3
 
   # required dependencies
   - python-dateutil=2.8.2

ci/deps/actions-310.yaml

@@ -16,7 +16,7 @@ dependencies:
   - pytest-xdist>=3.4.0
   - pytest-localserver>=0.8.1
   - pytest-qt>=4.4.0
-  - boto3
+  - boto3=1.37.3
 
   # required dependencies
   - python-dateutil

ci/deps/actions-311-downstream_compat.yaml

@@ -17,7 +17,7 @@ dependencies:
   - pytest-xdist>=3.4.0
   - pytest-localserver>=0.8.1
   - pytest-qt>=4.4.0
-  - boto3
+  - boto3=1.37.3
 
   # required dependencies
   - python-dateutil

ci/deps/actions-311.yaml

@@ -16,7 +16,7 @@ dependencies:
   - pytest-xdist>=3.4.0
   - pytest-localserver>=0.8.1
   - pytest-qt>=4.4.0
-  - boto3
+  - boto3=1.37.3
 
   # required dependencies
   - python-dateutil

ci/deps/actions-312.yaml

@@ -16,7 +16,7 @@ dependencies:
   - pytest-xdist>=3.4.0
   - pytest-localserver>=0.8.1
   - pytest-qt>=4.4.0
-  - boto3
+  - boto3=1.37.3
 
   # required dependencies
   - python-dateutil

ci/deps/actions-313.yaml

@@ -16,7 +16,7 @@ dependencies:
   - pytest-xdist>=3.4.0
   - pytest-localserver>=0.8.1
   - pytest-qt>=4.4.0
-  - boto3
+  - boto3=1.37.3
 
   # required dependencies
   - python-dateutil

doc/source/whatsnew/v3.0.0.rst

@@ -64,6 +64,7 @@ Other enhancements
 - :meth:`Series.nlargest` uses a 'stable' sort internally and will preserve original ordering.
 - :class:`ArrowDtype` now supports ``pyarrow.JsonType`` (:issue:`60958`)
 - :class:`DataFrameGroupBy` and :class:`SeriesGroupBy` methods ``sum``, ``mean``, ``median``, ``prod``, ``min``, ``max``, ``std``, ``var`` and ``sem`` now accept ``skipna`` parameter (:issue:`15675`)
+- :class:`Holiday` has gained the constructor argument and field ``exclude_dates`` to exclude specific datetimes from a custom holiday calendar (:issue:`54382`)
 - :class:`Rolling` and :class:`Expanding` now support ``nunique`` (:issue:`26958`)
 - :class:`Rolling` and :class:`Expanding` now support aggregations ``first`` and ``last`` (:issue:`33155`)
 - :func:`read_parquet` accepts ``to_pandas_kwargs`` which are forwarded to :meth:`pyarrow.Table.to_pandas` which enables passing additional keywords to customize the conversion to pandas, such as ``maps_as_pydicts`` to read the Parquet map data type as python dictionaries (:issue:`56842`)

pandas/tests/extension/base/setitem.py

@@ -440,11 +440,11 @@ def test_delitem_series(self, data):
         tm.assert_series_equal(ser, expected)
 
     def test_setitem_invalid(self, data, invalid_scalar):
-        msg = ""  # messages vary by subclass, so we do not test it
-        with pytest.raises((ValueError, TypeError), match=msg):
+        # messages vary by subclass, so we do not test it
+        with pytest.raises((ValueError, TypeError), match=None):
             data[0] = invalid_scalar
 
-        with pytest.raises((ValueError, TypeError), match=msg):
+        with pytest.raises((ValueError, TypeError), match=None):
             data[:] = invalid_scalar
 
     def test_setitem_2d_values(self, data):

pandas/tests/generic/test_to_xarray.py

@@ -93,6 +93,7 @@ def test_to_xarray_index_types(self, index_flat, request):
             isinstance(index.dtype, StringDtype)
             and index.dtype.storage == "pyarrow"
             and Version(xarray.__version__) > Version("2024.9.0")
+            and Version(xarray.__version__) < Version("2025.6.0")
         ):
             request.applymarker(
                 pytest.mark.xfail(