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"}),