Merge remote-tracking branch 'origin/main'

Author: SaraTammame

.github/workflows/wheels.yml

@@ -99,6 +99,7 @@ jobs:
         # Note: M1 images on Github Actions start from macOS 14
         - [macos-14, macosx_arm64]
         - [windows-2022, win_amd64]
+        - [windows-11-arm, win_arm64]
         # TODO: support PyPy?
         python: [["cp310", "3.10"], ["cp311", "3.11"], ["cp312", "3.12"], ["cp313", "3.13"], ["cp313t", "3.13"]]
         include:
@@ -108,6 +109,12 @@ jobs:
         - buildplat: [ubuntu-24.04, pyodide_wasm32]
           python: ["cp312", "3.12"]
           cibw_build_frontend: 'build'
+        exclude:
+          - buildplat: [windows-11-arm, win_arm64]
+            python: ["cp310", "3.10"]
+        # BackendUnavailable: Cannot import 'mesonpy'
+          - buildplat: [windows-11-arm, win_arm64]
+            python: ["cp313t", "3.13"]
 
     env:
       IS_PUSH: ${{ github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') }}
@@ -118,6 +125,12 @@ jobs:
         with:
           fetch-depth: 0
 
+      - name: Set up MSVC environment for ARM64
+        if: matrix.buildplat[1] == 'win_arm64'
+        uses: ilammy/msvc-dev-cmd@v1
+        with:
+          arch: arm64
+
       # TODO: Build wheels from sdist again
       # There's some sort of weird race condition?
       # within Github that makes the sdist be missing files
@@ -155,9 +168,13 @@ jobs:
         env:
           CIBW_BUILD: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
           CIBW_BUILD_FRONTEND: ${{ matrix.cibw_build_frontend || 'pip' }}
-          CIBW_PLATFORM: ${{ matrix.buildplat[1] == 'pyodide_wasm32' && 'pyodide' || 'auto' }}
+          CIBW_PLATFORM: ${{ (matrix.buildplat[1] == 'pyodide_wasm32' && 'pyodide') || (matrix.buildplat[1] == 'win_arm64' && 'windows') || 'auto' }}
+          CIBW_ARCHS: ${{ matrix.buildplat[1] == 'win_arm64' && 'ARM64' || 'auto' }}
+          CIBW_BEFORE_BUILD_WINDOWS: 'python -m pip install delvewheel'
 
-      - name: Set up Python
+      - name: Set up Python for validation/upload (non-ARM64 Windows & other OS)
+        # micromamba is not available for ARM64 Windows
+        if: matrix.buildplat[1] != 'win_arm64'
         uses: mamba-org/setup-micromamba@v2
         with:
           environment-name: wheel-env
@@ -170,6 +187,12 @@ jobs:
           cache-downloads: true
           cache-environment: true
 
+      - name: Install wheel for win_arm64
+        # installing wheel here because micromamba step was skipped
+        if: matrix.buildplat[1] == 'win_arm64'
+        shell: bash -el {0}
+        run: python -m pip install wheel
+
       - name: Validate wheel RECORD
         shell: bash -el {0}
         run: for whl in $(ls wheelhouse); do wheel unpack wheelhouse/$whl -d /tmp; done

doc/source/development/contributing_environment.rst

@@ -251,7 +251,7 @@ This option allows you to configure where meson stores your built C extensions,
 Sometimes, it might be useful to compile pandas with debugging symbols, when debugging C extensions.
 Appending ``-Csetup-args="-Ddebug=true"`` will do the trick.
 
-With pip, it is possible to chain together multiple config settings (for example specifying both a build directory
+With pip, it is possible to chain together multiple config settings. For example, specifying both a build directory
 and building with debug symbols would look like
 ``-Cbuilddir="your builddir here" -Csetup-args="-Dbuildtype=debug"``.
 

doc/source/user_guide/10min.rst

@@ -178,12 +178,26 @@ Getitem (``[]``)
 ~~~~~~~~~~~~~~~~
 
 For a :class:`DataFrame`, passing a single label selects a column and
-yields a :class:`Series` equivalent to ``df.A``:
+yields a :class:`Series`:
 
 .. ipython:: python
 
    df["A"]
 
+If the label only contains letters, numbers, and underscores, you can
+alternatively use the column name attribute:
+
+.. ipython:: python
+
+   df.A
+
+Passing a list of column labels selects multiple columns, which can be useful
+for getting a subset/rearranging:
+
+.. ipython:: python
+
+   df[["B", "A"]]
+
 For a :class:`DataFrame`, passing a slice ``:`` selects matching rows:
 
 .. ipython:: python

doc/source/user_guide/indexing.rst

@@ -325,7 +325,7 @@ The ``.loc`` attribute is the primary access method. The following are valid inp
 
 * A single label, e.g. ``5`` or ``'a'`` (Note that ``5`` is interpreted as a *label* of the index. This use is **not** an integer position along the index.).
 * A list or array of labels ``['a', 'b', 'c']``.
-* A slice object with labels ``'a':'f'`` (Note that contrary to usual Python
+* A slice object with labels ``'a':'f'``. Note that contrary to usual Python
   slices, **both** the start and the stop are included, when present in the
   index! See :ref:`Slicing with labels <indexing.slicing_with_labels>`.
 * A boolean array.

doc/source/user_guide/io.rst

@@ -1415,7 +1415,7 @@ of multi-columns indices.
 
 .. note::
    If an ``index_col`` is not specified (e.g. you don't have an index, or wrote it
-   with ``df.to_csv(..., index=False)``, then any ``names`` on the columns index will
+   with ``df.to_csv(..., index=False)``), then any ``names`` on the columns index will
    be *lost*.
 
 .. ipython:: python

doc/source/user_guide/sparse.rst

@@ -40,8 +40,8 @@ and in the Python interpreter.
 
 .. ipython:: python
 
-   'dense : {:0.2f} bytes'.format(df.memory_usage().sum() / 1e3)
-   'sparse: {:0.2f} bytes'.format(sdf.memory_usage().sum() / 1e3)
+   f'dense: {df.memory_usage().sum()} bytes'
+   f'sparse: {sdf.memory_usage().sum()} bytes'
 
 Functionally, their behavior should be nearly
 identical to their dense counterparts.

doc/source/user_guide/timeseries.rst

@@ -2458,7 +2458,7 @@ you can use the ``tz_convert`` method.
 
     For ``pytz`` time zones, it is incorrect to pass a time zone object directly into
     the ``datetime.datetime`` constructor
-    (e.g., ``datetime.datetime(2011, 1, 1, tzinfo=pytz.timezone('US/Eastern'))``.
+    (e.g., ``datetime.datetime(2011, 1, 1, tzinfo=pytz.timezone('US/Eastern'))``).
     Instead, the datetime needs to be localized using the ``localize`` method
     on the ``pytz`` time zone object.