Merge remote-tracking branch 'upstream/main' into ci/tests

Author: mroeschke

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/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/computation/parsing.py

@@ -123,16 +123,6 @@ def clean_column_name(name: Hashable) -> Hashable:
     -------
     name : hashable
         Returns the name after tokenizing and cleaning.
-
-    Notes
-    -----
-        For some cases, a name cannot be converted to a valid Python identifier.
-        In that case :func:`tokenize_string` raises a SyntaxError.
-        In that case, we just return the name unmodified.
-
-        If this name was used in the query string (this makes the query call impossible)
-        an error will be raised by :func:`tokenize_backtick_quoted_string` instead,
-        which is not caught and propagates to the user level.
     """
     try:
         # Escape backticks
@@ -145,40 +135,6 @@ def clean_column_name(name: Hashable) -> Hashable:
         return name
 
 
-def tokenize_backtick_quoted_string(
-    token_generator: Iterator[tokenize.TokenInfo], source: str, string_start: int
-) -> tuple[int, str]:
-    """
-    Creates a token from a backtick quoted string.
-
-    Moves the token_generator forwards till right after the next backtick.
-
-    Parameters
-    ----------
-    token_generator : Iterator[tokenize.TokenInfo]
-        The generator that yields the tokens of the source string (Tuple[int, str]).
-        The generator is at the first token after the backtick (`)
-
-    source : str
-        The Python source code string.
-
-    string_start : int
-        This is the start of backtick quoted string inside the source string.
-
-    Returns
-    -------
-    tok: Tuple[int, str]
-        The token that represents the backtick quoted string.
-        The integer is equal to BACKTICK_QUOTED_STRING (100).
-    """
-    for _, tokval, start, _, _ in token_generator:
-        if tokval == "`":
-            string_end = start[1]
-            break
-
-    return BACKTICK_QUOTED_STRING, source[string_start:string_end]
-
-
 class ParseState(Enum):
     DEFAULT = 0
     IN_BACKTICK = 1

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/extension/decimal/array.py

@@ -125,7 +125,6 @@ def to_numpy(
         return result
 
     def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
-        #
         if not all(
             isinstance(t, self._HANDLED_TYPES + (DecimalArray,)) for t in inputs
         ):

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(