Merge branch 'main' into fix-59242

Author: kastkeepitjumpinlikekangaroos

doc/source/user_guide/cookbook.rst

@@ -1043,7 +1043,7 @@ CSV
 
 The :ref:`CSV <io.read_csv_table>` docs
 
-`read_csv in action <https://wesmckinney.com/blog/update-on-upcoming-pandas-v0-10-new-file-parser-other-performance-wins/>`__
+`read_csv in action <https://www.datacamp.com/tutorial/pandas-read-csv>`__
 
 `appending to a csv
 <https://stackoverflow.com/questions/17134942/pandas-dataframe-output-end-of-csv>`__

doc/source/user_guide/enhancingperf.rst

@@ -427,7 +427,7 @@ prefer that Numba throw an error if it cannot compile a function in a way that
 speeds up your code, pass Numba the argument
 ``nopython=True`` (e.g.  ``@jit(nopython=True)``). For more on
 troubleshooting Numba modes, see the `Numba troubleshooting page
-<https://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#the-compiled-code-is-too-slow>`__.
+<https://numba.readthedocs.io/en/stable/user/troubleshoot.html>`__.
 
 Using ``parallel=True`` (e.g. ``@jit(parallel=True)``) may result in a ``SIGABRT`` if the threading layer leads to unsafe
 behavior. You can first `specify a safe threading layer <https://numba.readthedocs.io/en/stable/user/threading-layer.html#selecting-a-threading-layer-for-safe-parallel-execution>`__

doc/source/user_guide/pyarrow.rst

@@ -22,7 +22,7 @@ Data Structure Integration
 
 A :class:`Series`, :class:`Index`, or the columns of a :class:`DataFrame` can be directly backed by a :external+pyarrow:py:class:`pyarrow.ChunkedArray`
 which is similar to a NumPy array. To construct these from the main pandas data structures, you can pass in a string of the type followed by
-``[pyarrow]``, e.g. ``"int64[pyarrow]""`` into the ``dtype`` parameter
+``[pyarrow]``, e.g. ``"int64[pyarrow]"`` into the ``dtype`` parameter
 
 .. ipython:: python
 

pandas/_config/config.py

@@ -141,6 +141,10 @@ def get_option(pat: str) -> Any:
     """
     Retrieve the value of the specified option.
 
+    This method allows users to query the current value of a given option
+    in the pandas configuration system. Options control various display,
+    performance, and behavior-related settings within pandas.
+
     Parameters
     ----------
     pat : str

pandas/core/arraylike.py

@@ -329,7 +329,7 @@ def array_ufunc(self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any)
         reconstruct_axes = dict(zip(self._AXIS_ORDERS, self.axes))
 
     if self.ndim == 1:
-        names = {getattr(x, "name") for x in inputs if hasattr(x, "name")}
+        names = {x.name for x in inputs if hasattr(x, "name")}
         name = names.pop() if len(names) == 1 else None
         reconstruct_kwargs = {"name": name}
     else:

pandas/core/common.py

@@ -359,7 +359,7 @@ def is_full_slice(obj, line: int) -> bool:
 def get_callable_name(obj):
     # typical case has name
     if hasattr(obj, "__name__"):
-        return getattr(obj, "__name__")
+        return obj.__name__
     # some objects don't; could recurse
     if isinstance(obj, partial):
         return get_callable_name(obj.func)

pandas/core/dtypes/common.py

@@ -1836,6 +1836,8 @@ def pandas_dtype(dtype) -> DtypeObj:
     # raise a consistent TypeError if failed
     try:
         with warnings.catch_warnings():
+            # TODO: warnings.catch_warnings can be removed when numpy>2.2.2
+            # is the minimum version
             # GH#51523 - Series.astype(np.integer) doesn't show
             # numpy deprecation warning of np.integer
             # Hence enabling DeprecationWarning

pandas/io/formats/style.py

@@ -2021,7 +2021,7 @@ def apply(
         more details.
         """
         self._todo.append(
-            (lambda instance: getattr(instance, "_apply"), (func, axis, subset), kwargs)
+            (lambda instance: instance._apply, (func, axis, subset), kwargs)
         )
         return self
 
@@ -2128,7 +2128,7 @@ def apply_index(
         """
         self._todo.append(
             (
-                lambda instance: getattr(instance, "_apply_index"),
+                lambda instance: instance._apply_index,
                 (func, axis, level, "apply"),
                 kwargs,
             )
@@ -2157,7 +2157,7 @@ def map_index(
     ) -> Styler:
         self._todo.append(
             (
-                lambda instance: getattr(instance, "_apply_index"),
+                lambda instance: instance._apply_index,
                 (func, axis, level, "map"),
                 kwargs,
             )
@@ -2230,9 +2230,7 @@ def map(self, func: Callable, subset: Subset | None = None, **kwargs) -> Styler:
         See `Table Visualization <../../user_guide/style.ipynb>`_ user guide for
         more details.
         """
-        self._todo.append(
-            (lambda instance: getattr(instance, "_map"), (func, subset), kwargs)
-        )
+        self._todo.append((lambda instance: instance._map, (func, subset), kwargs))
         return self
 
     def set_table_attributes(self, attributes: str) -> Styler:

pandas/tests/dtypes/test_common.py

@@ -22,6 +22,7 @@
 import pandas._testing as tm
 from pandas.api.types import pandas_dtype
 from pandas.arrays import SparseArray
+from pandas.util.version import Version
 
 
 # EA & Actual Dtypes
@@ -788,11 +789,18 @@ def test_validate_allhashable():
 
 def test_pandas_dtype_numpy_warning():
     # GH#51523
-    with tm.assert_produces_warning(
-        DeprecationWarning,
-        check_stacklevel=False,
-        match="Converting `np.integer` or `np.signedinteger` to a dtype is deprecated",
-    ):
+    if Version(np.__version__) <= Version("2.2.2"):
+        ctx = tm.assert_produces_warning(
+            DeprecationWarning,
+            check_stacklevel=False,
+            match=(
+                "Converting `np.integer` or `np.signedinteger` to a dtype is deprecated"
+            ),
+        )
+    else:
+        ctx = tm.external_error_raised(TypeError)
+
+    with ctx:
         pandas_dtype(np.integer)
 
 

pandas/tests/generic/test_finalize.py

@@ -644,7 +644,7 @@ def test_timedelta_methods(method):
         operator.methodcaller("add_categories", ["c"]),
         operator.methodcaller("as_ordered"),
         operator.methodcaller("as_unordered"),
-        lambda x: getattr(x, "codes"),
+        lambda x: x.codes,
         operator.methodcaller("remove_categories", "a"),
         operator.methodcaller("remove_unused_categories"),
         operator.methodcaller("rename_categories", {"a": "A", "b": "B"}),

pandas/tests/groupby/test_apply.py

@@ -1390,7 +1390,7 @@ def test_empty_df(method, op):
     # GH 47985
     empty_df = DataFrame({"a": [], "b": []})
     gb = empty_df.groupby("a", group_keys=True)
-    group = getattr(gb, "b")
+    group = gb.b
 
     result = getattr(group, method)(op)
     expected = Series(

pandas/tests/groupby/test_groupby.py

@@ -264,7 +264,7 @@ def test_attr_wrapper(ts):
     # make sure raises error
     msg = "'SeriesGroupBy' object has no attribute 'foo'"
     with pytest.raises(AttributeError, match=msg):
-        getattr(grouped, "foo")
+        grouped.foo
 
 
 def test_frame_groupby(tsframe):

pandas/tests/io/pytables/test_store.py

@@ -311,7 +311,7 @@ def test_getattr(setup_path):
         # test attribute access
         result = store.a
         tm.assert_series_equal(result, s)
-        result = getattr(store, "a")
+        result = store.a
         tm.assert_series_equal(result, s)
 
         df = DataFrame(

pandas/tests/test_downstream.py

@@ -20,6 +20,7 @@
     TimedeltaIndex,
 )
 import pandas._testing as tm
+from pandas.util.version import Version
 
 
 @pytest.fixture
@@ -222,15 +223,22 @@ def test_missing_required_dependency():
         assert name in output
 
 
-def test_frame_setitem_dask_array_into_new_col():
+def test_frame_setitem_dask_array_into_new_col(request):
     # GH#47128
 
     # dask sets "compute.use_numexpr" to False, so catch the current value
     # and ensure to reset it afterwards to avoid impacting other tests
     olduse = pd.get_option("compute.use_numexpr")
 
     try:
+        dask = pytest.importorskip("dask")
         da = pytest.importorskip("dask.array")
+        if Version(dask.__version__) <= Version("2025.1.0") and Version(
+            np.__version__
+        ) >= Version("2.1"):
+            request.applymarker(
+                pytest.mark.xfail(reason="loc.__setitem__ incorrectly mutated column c")
+            )
 
         dda = da.array([1, 2])
         df = DataFrame({"a": ["a", "b"]})

pyproject.toml

@@ -272,8 +272,6 @@ ignore = [
   "B007",
   # controversial
   "B008",
-  # setattr is used to side-step mypy
-  "B009",
   # getattr is used to side-step mypy
   "B010",
   # tests use comparisons but not their returned value

web/pandas/community/ecosystem.md

@@ -8,7 +8,7 @@ developers to build powerful and more focused data tools. The creation
 of libraries that complement pandas' functionality also allows pandas
 development to remain focused around its original requirements.
 
-This is an community-maintained list of projects that build on pandas in order
+This is a community-maintained list of projects that build on pandas in order
 to provide tools in the PyData space. The pandas core development team does not necessarily endorse any particular project on this list or have any knowledge of the maintenance status of any particular library.
 
 For a more complete list of projects that depend on pandas, see the [libraries.io usage page for