Merge remote-tracking branch 'upstream/main' into cow-ea-readonly

Author: jorisvandenbossche

.github/workflows/codeql.yml

@@ -28,8 +28,8 @@ jobs:
 
     steps:
       - uses: actions/checkout@v5
-      - uses: github/codeql-action/init@v3
+      - uses: github/codeql-action/init@v4
         with:
           languages: ${{ matrix.language }}
-      - uses: github/codeql-action/autobuild@v3
-      - uses: github/codeql-action/analyze@v3
+      - uses: github/codeql-action/autobuild@v4
+      - uses: github/codeql-action/analyze@v4

.github/workflows/unit-tests.yml

@@ -399,7 +399,7 @@ jobs:
           pyodide build
 
       - name: Set up Node.js
-        uses: actions/setup-node@v5
+        uses: actions/setup-node@v6
         with:
           node-version: '20'
 

.github/workflows/wheels.yml

@@ -162,7 +162,7 @@ jobs:
         run: echo "sdist_name=$(cd ./dist && ls -d */)" >> "$GITHUB_ENV"
 
       - name: Build wheels
-        uses: pypa/cibuildwheel@v3.2.0
+        uses: pypa/cibuildwheel@v3.2.1
         with:
          package-dir: ./dist/${{ startsWith(matrix.buildplat[1], 'macosx') && env.sdist_name || needs.build_sdist.outputs.sdist_file }}
         env:

ci/code_checks.sh

@@ -73,10 +73,12 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Period.freq GL08" \
         -i "pandas.Period.ordinal GL08" \
         -i "pandas.errors.IncompatibleFrequency SA01,SS06,EX01" \
+        -i "pandas.errors.InvalidVersion GL08" \
         -i "pandas.api.extensions.ExtensionArray.value_counts EX01,RT03,SA01" \
-        -i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
-        -i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
-        -i "pandas.core.resample.Resampler.quantile PR01,PR07" \
+        -i "pandas.api.typing.DataFrameGroupBy.plot PR02" \
+        -i "pandas.api.typing.SeriesGroupBy.plot PR02" \
+        -i "pandas.api.typing.Resampler.quantile PR01,PR07" \
+        -i "pandas.arrays.NumpyExtensionArray GL08" \
         -i "pandas.tseries.offsets.BDay PR02,SA01" \
         -i "pandas.tseries.offsets.BHalfYearBegin.is_on_offset GL08" \
         -i "pandas.tseries.offsets.BHalfYearBegin.n GL08" \

doc/source/reference/groupby.rst

@@ -5,7 +5,7 @@
 =======
 GroupBy
 =======
-.. currentmodule:: pandas.core.groupby
+.. currentmodule:: pandas.api.typing
 
 :class:`pandas.api.typing.DataFrameGroupBy` and :class:`pandas.api.typing.SeriesGroupBy`
 instances are returned by groupby calls :func:`pandas.DataFrame.groupby` and
@@ -40,7 +40,7 @@ Function application helper
 
    NamedAgg
 
-.. currentmodule:: pandas.core.groupby
+.. currentmodule:: pandas.api.typing
 
 Function application
 --------------------

doc/source/reference/resampling.rst

@@ -5,7 +5,7 @@
 ==========
 Resampling
 ==========
-.. currentmodule:: pandas.core.resample
+.. currentmodule:: pandas.api.typing
 
 :class:`pandas.api.typing.Resampler` instances are returned by
 resample calls: :func:`pandas.DataFrame.resample`, :func:`pandas.Series.resample`.

doc/source/reference/window.rst

@@ -17,7 +17,7 @@ calls: :func:`pandas.DataFrame.ewm` and :func:`pandas.Series.ewm`.
 
 Rolling window functions
 ------------------------
-.. currentmodule:: pandas.core.window.rolling
+.. currentmodule:: pandas.api.typing
 
 .. autosummary::
    :toctree: api/
@@ -48,7 +48,8 @@ Rolling window functions
 
 Weighted window functions
 -------------------------
-.. currentmodule:: pandas.core.window.rolling
+.. currentmodule:: pandas.api.typing
+
 
 .. autosummary::
    :toctree: api/
@@ -62,7 +63,8 @@ Weighted window functions
 
 Expanding window functions
 --------------------------
-.. currentmodule:: pandas.core.window.expanding
+.. currentmodule:: pandas.api.typing
+
 
 .. autosummary::
    :toctree: api/
@@ -93,7 +95,8 @@ Expanding window functions
 
 Exponentially-weighted window functions
 ---------------------------------------
-.. currentmodule:: pandas.core.window.ewm
+.. currentmodule:: pandas.api.typing
+
 
 .. autosummary::
    :toctree: api/

doc/source/user_guide/10min.rst

@@ -318,7 +318,9 @@ Setting a new column automatically aligns the data by the indexes:
 
 .. ipython:: python
 
-   s1 = pd.Series([1, 2, 3, 4, 5, 6], index=pd.date_range("20130102", periods=6))
+   s1 = pd.Series(
+      [1, 2, 3, 4, 5, 6],
+      index=pd.date_range("20130102", periods=6))
    s1
    df["F"] = s1
 

doc/source/user_guide/basics.rst

@@ -2372,11 +2372,18 @@ integers:
 
    df.select_dtypes(include=["number", "bool"], exclude=["unsignedinteger"])
 
-To select string columns you must use the ``object`` dtype:
+To select string columns include ``str``:
 
 .. ipython:: python
 
-   df.select_dtypes(include=["object"])
+   df.select_dtypes(include=[str])
+
+.. note::
+
+    This is a change in pandas 3.0. Previously strings were stored in ``object``
+    dtype columns, so would be selected with ``include=[object]``. See
+    :ref:`the migration guide <string_migration.select_dtypes>` for details on
+    how to write code that works with both versions.
 
 To see all the child dtypes of a generic ``dtype`` like ``numpy.number`` you
 can define a function that returns a tree of child dtypes:

doc/source/user_guide/enhancingperf.rst

@@ -455,7 +455,7 @@ by evaluate arithmetic and boolean expression all at once for large :class:`~pan
    :func:`~pandas.eval` is many orders of magnitude slower for
    smaller expressions or objects than plain Python. A good rule of thumb is
    to only use :func:`~pandas.eval` when you have a
-   :class:`~pandas.core.frame.DataFrame` with more than 10,000 rows.
+   :class:`~pandas.DataFrame` with more than 10,000 rows.
 
 Supported syntax
 ~~~~~~~~~~~~~~~~