Merge branch 'main' into demo-ci-check

Author: sanchit122006

.github/workflows/wheels.yml

@@ -164,6 +164,7 @@ jobs:
         uses: pypa/cibuildwheel@v3.2.1
         with:
          package-dir: ./dist/${{ startsWith(matrix.buildplat[1], 'macosx') && env.sdist_name || needs.build_sdist.outputs.sdist_file }}
+         output-dir: ./dist
         env:
           CIBW_BUILD: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
           CIBW_BUILD_FRONTEND: ${{ matrix.cibw_build_frontend || 'pip' }}
@@ -194,18 +195,18 @@ jobs:
 
       - name: Validate wheel RECORD
         shell: bash -el {0}
-        run: for whl in $(ls wheelhouse); do wheel unpack wheelhouse/$whl -d /tmp; done
+        run: for whl in $(ls ./dist/*.whl); do wheel unpack $whl -d /tmp; done
 
       - uses: actions/upload-artifact@v5
         with:
           name: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
-          path: ./wheelhouse/*.whl
+          path: ./dist/*.whl
 
       - name: Upload wheels & sdist
         if: ${{ success() && env.IS_SCHEDULE_DISPATCH == 'true' }}
         uses: scientific-python/upload-nightly-action@0.6.2
         with:
-          artifacts_path: dist
+          artifacts_path: ./dist
           anaconda_nightly_upload_token: ${{secrets.PANDAS_NIGHTLY_UPLOAD_TOKEN}}
 
   publish:

.gitignore

@@ -67,7 +67,6 @@ pandas/py.typed
 .ropeproject
 # wheel files
 *.whl
-**/wheelhouse/*
 pip-wheel-metadata
 # coverage
 .coverage

doc/source/user_guide/merging.rst

@@ -977,7 +977,7 @@ with optional filling of missing data with ``fill_method``.
 
 :func:`merge_asof` is similar to an ordered left-join except that matches are on the
 nearest key rather than equal keys. For each row in the ``left`` :class:`DataFrame`,
-the last row in the ``right`` :class:`DataFrame` are selected where the ``on`` key is less
+the last row in the ``right`` :class:`DataFrame` is selected where the ``on`` key is less
 than the left's key. Both :class:`DataFrame` must be sorted by the key.
 
 Optionally :func:`merge_asof` can perform a group-wise merge by matching the

doc/source/user_guide/reshaping.rst

@@ -342,7 +342,7 @@ by supplying the ``var_name`` and ``value_name`` parameters.
    cheese.melt(id_vars=["first", "last"], var_name="quantity")
 
 When transforming a DataFrame using :func:`~pandas.melt`, the index will be ignored.
-The original index values can be kept by setting the ``ignore_index=False`` parameter to ``False`` (default is ``True``).
+The original index values can be kept by setting the ``ignore_index`` parameter to ``False`` (default is ``True``).
 ``ignore_index=False`` will however duplicate index values.
 
 .. ipython:: python

doc/source/user_guide/timeseries.rst

@@ -1294,15 +1294,6 @@ frequencies. We will refer to these aliases as *offset aliases*.
     "us", "microseconds"
     "ns", "nanoseconds"
 
-.. deprecated:: 2.2.0
-
-   Aliases ``H``, ``BH``, ``CBH``, ``T``, ``S``, ``L``, ``U``, and ``N``
-   are deprecated in favour of the aliases ``h``, ``bh``, ``cbh``,
-   ``min``, ``s``, ``ms``, ``us``, and ``ns``.
-
-   Aliases ``Y``, ``M``, and ``Q`` are deprecated in favour of the aliases
-   ``YE``, ``ME``, ``QE``.
-
 
 .. note::
 
@@ -1358,11 +1349,6 @@ frequencies. We will refer to these aliases as *period aliases*.
     "us", "microseconds"
     "ns", "nanoseconds"
 
-.. deprecated:: 2.2.0
-
-   Aliases ``H``, ``T``, ``S``, ``L``, ``U``, and ``N`` are deprecated in favour of the aliases
-   ``h``, ``min``, ``s``, ``ms``, ``us``, and ``ns``.
-
 
 Combining aliases
 ~~~~~~~~~~~~~~~~~

pandas/core/algorithms.py

@@ -1140,14 +1140,8 @@ def take(
 
     Parameters
     ----------
-    arr : array-like or scalar value
-        Non array-likes (sequences/scalars without a dtype) are coerced
-        to an ndarray.
-
-        .. deprecated:: 2.1.0
-            Passing an argument other than a numpy.ndarray, ExtensionArray,
-            Index, or Series is deprecated.
-
+    arr : numpy.ndarray, ExtensionArray, Index, or Series
+        Input array.
     indices : sequence of int or one-dimensional np.ndarray of int
         Indices to be taken.
     axis : int, default 0

pandas/core/col.py

@@ -37,6 +37,12 @@
     "__lt__": "<",
     "__eq__": "==",
     "__ne__": "!=",
+    "__and__": "&",
+    "__rand__": "&",
+    "__or__": "|",
+    "__ror__": "|",
+    "__xor__": "^",
+    "__rxor__": "^",
 }
 
 
@@ -157,6 +163,28 @@ def __mod__(self, other: Any) -> Expression:
     def __rmod__(self, other: Any) -> Expression:
         return self._with_binary_op("__rmod__", other)
 
+    # Logical ops
+    def __and__(self, other: Any) -> Expression:
+        return self._with_binary_op("__and__", other)
+
+    def __rand__(self, other: Any) -> Expression:
+        return self._with_binary_op("__rand__", other)
+
+    def __or__(self, other: Any) -> Expression:
+        return self._with_binary_op("__or__", other)
+
+    def __ror__(self, other: Any) -> Expression:
+        return self._with_binary_op("__ror__", other)
+
+    def __xor__(self, other: Any) -> Expression:
+        return self._with_binary_op("__xor__", other)
+
+    def __rxor__(self, other: Any) -> Expression:
+        return self._with_binary_op("__rxor__", other)
+
+    def __invert__(self) -> Expression:
+        return Expression(lambda df: ~self(df), f"(~{self._repr_str})")
+
     def __array_ufunc__(
         self, ufunc: Callable[..., Any], method: str, *inputs: Any, **kwargs: Any
     ) -> Expression:

pandas/core/config_init.py

@@ -423,7 +423,7 @@ def is_terminal() -> bool:
         # to False. This environment variable can be set for testing.
         "warn"
         if os.environ.get("PANDAS_COPY_ON_WRITE", "0") == "warn"
-        else os.environ.get("PANDAS_COPY_ON_WRITE", "0") == "1",
+        else os.environ.get("PANDAS_COPY_ON_WRITE", "1") == "1",
         copy_on_write_doc,
         validator=is_one_of_factory([True, False, "warn"]),
     )
@@ -908,7 +908,8 @@ def register_converter_cb(key: str) -> None:
     "mode.copy_on_write",
     Pandas4Warning,
     msg=(
-        "Copy-on-Write can no longer be disabled, setting to False has no impact. "
-        "This option will be removed in pandas 4.0."
+        "The 'mode.copy_on_write' option is deprecated. Copy-on-Write can no longer "
+        "be disabled (it is always enabled with pandas >= 3.0), and setting the option "
+        "has no impact. This option will be removed in pandas 4.0."
     ),
 )

pandas/core/frame.py

@@ -379,21 +379,18 @@
     `right` should be left as-is, with no suffix. At least one of the
     values must not be None.
 copy : bool, default False
-    If False, avoid copy if possible.
+    This keyword is now ignored; changing its value will have no
+    impact on the method.
 
-    .. note::
-        The `copy` keyword will change behavior in pandas 3.0.
-        `Copy-on-Write
-        <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
-        will be enabled by default, which means that all methods with a
-        `copy` keyword will use a lazy copy mechanism to defer the copy and
-        ignore the `copy` keyword. The `copy` keyword will be removed in a
-        future version of pandas.
+    .. deprecated:: 3.0.0
 
-        You can already get the future behavior and improvements through
-        enabling copy on write ``pd.options.mode.copy_on_write = True``
+        This keyword is ignored and will be removed in pandas 4.0. Since
+        pandas 3.0, this method always returns a new object using a lazy
+        copy mechanism that defers copies until necessary
+        (Copy-on-Write). See the `user guide on Copy-on-Write
+        <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
+        for more details.
 
-    .. deprecated:: 3.0.0
 indicator : bool or str, default False
     If True, adds a column to the output DataFrame called "_merge" with
     information on the source of each row. The column can be given a different
@@ -3900,26 +3897,21 @@ def transpose(
         *args : tuple, optional
             Accepted for compatibility with NumPy.
         copy : bool, default False
-            Whether to copy the data after transposing, even for DataFrames
-            with a single dtype.
+            This keyword is now ignored; changing its value will have no
+            impact on the method.
 
             Note that a copy is always required for mixed dtype DataFrames,
             or for DataFrames with any extension types.
 
-            .. note::
-                The `copy` keyword will change behavior in pandas 3.0.
-                `Copy-on-Write
-                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
-                will be enabled by default, which means that all methods with a
-                `copy` keyword will use a lazy copy mechanism to defer the copy and
-                ignore the `copy` keyword. The `copy` keyword will be removed in a
-                future version of pandas.
-
-                You can already get the future behavior and improvements through
-                enabling copy on write ``pd.options.mode.copy_on_write = True``
-
             .. deprecated:: 3.0.0
 
+                This keyword is ignored and will be removed in pandas 4.0. Since
+                pandas 3.0, this method always returns a new object using a lazy
+                copy mechanism that defers copies until necessary
+                (Copy-on-Write). See the `user guide on Copy-on-Write
+                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
+                for more details.
+
         Returns
         -------
         DataFrame
@@ -5949,21 +5941,18 @@ def rename(
             Axis to target with ``mapper``. Can be either the axis name
             ('index', 'columns') or number (0, 1). The default is 'index'.
         copy : bool, default False
-            Also copy underlying data.
+            This keyword is now ignored; changing its value will have no
+            impact on the method.
 
-            .. note::
-                The `copy` keyword will change behavior in pandas 3.0.
-                `Copy-on-Write
-                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
-                will be enabled by default, which means that all methods with a
-                `copy` keyword will use a lazy copy mechanism to defer the copy and
-                ignore the `copy` keyword. The `copy` keyword will be removed in a
-                future version of pandas.
+            .. deprecated:: 3.0.0
 
-                You can already get the future behavior and improvements through
-                enabling copy on write ``pd.options.mode.copy_on_write = True``
+                This keyword is ignored and will be removed in pandas 4.0. Since
+                pandas 3.0, this method always returns a new object using a lazy
+                copy mechanism that defers copies until necessary
+                (Copy-on-Write). See the `user guide on Copy-on-Write
+                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
+                for more details.
 
-            .. deprecated:: 3.0.0
         inplace : bool, default False
             Whether to modify the DataFrame rather than creating a new one.
             If True then value of copy is ignored.
@@ -13988,22 +13977,18 @@ def to_timestamp(
         axis : {0 or 'index', 1 or 'columns'}, default 0
             The axis to convert (the index by default).
         copy : bool, default False
-            If False then underlying input data is not copied.
-
-            .. note::
-                The `copy` keyword will change behavior in pandas 3.0.
-                `Copy-on-Write
-                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
-                will be enabled by default, which means that all methods with a
-                `copy` keyword will use a lazy copy mechanism to defer the copy and
-                ignore the `copy` keyword. The `copy` keyword will be removed in a
-                future version of pandas.
-
-                You can already get the future behavior and improvements through
-                enabling copy on write ``pd.options.mode.copy_on_write = True``
+            This keyword is now ignored; changing its value will have no
+            impact on the method.
 
             .. deprecated:: 3.0.0
 
+                This keyword is ignored and will be removed in pandas 4.0. Since
+                pandas 3.0, this method always returns a new object using a lazy
+                copy mechanism that defers copies until necessary
+                (Copy-on-Write). See the `user guide on Copy-on-Write
+                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
+                for more details.
+
         Returns
         -------
         DataFrame with DatetimeIndex
@@ -14078,22 +14063,18 @@ def to_period(
         axis : {0 or 'index', 1 or 'columns'}, default 0
             The axis to convert (the index by default).
         copy : bool, default False
-            If False then underlying input data is not copied.
-
-            .. note::
-                The `copy` keyword will change behavior in pandas 3.0.
-                `Copy-on-Write
-                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
-                will be enabled by default, which means that all methods with a
-                `copy` keyword will use a lazy copy mechanism to defer the copy and
-                ignore the `copy` keyword. The `copy` keyword will be removed in a
-                future version of pandas.
-
-                You can already get the future behavior and improvements through
-                enabling copy on write ``pd.options.mode.copy_on_write = True``
+            This keyword is now ignored; changing its value will have no
+            impact on the method.
 
             .. deprecated:: 3.0.0
 
+                This keyword is ignored and will be removed in pandas 4.0. Since
+                pandas 3.0, this method always returns a new object using a lazy
+                copy mechanism that defers copies until necessary
+                (Copy-on-Write). See the `user guide on Copy-on-Write
+                <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
+                for more details.
+
         Returns
         -------
         DataFrame