# Buggy code
def rename(self, *args, **kwargs):
    """
    Alter axes labels.

    Function / dict values must be unique (1-to-1). Labels not contained in
    a dict / Series will be left as-is. Extra labels listed don't throw an
    error.

    See the :ref:`user guide <basics.rename>` for more.

    Parameters
    ----------
    mapper : dict-like or function
        Dict-like or functions transformations to apply to
        that axis' values. Use either ``mapper`` and ``axis`` to
        specify the axis to target with ``mapper``, or ``index`` and
        ``columns``.
    index : dict-like or function
        Alternative to specifying axis (``mapper, axis=0``
        is equivalent to ``index=mapper``).
    columns : dict-like or function
        Alternative to specifying axis (``mapper, axis=1``
        is equivalent to ``columns=mapper``).
    axis : int or str
        Axis to target with ``mapper``. Can be either the axis name
        ('index', 'columns') or number (0, 1). The default is 'index'.
    copy : bool, default True
        Also copy underlying data.
    inplace : bool, default False
        Whether to return a new DataFrame. If True then value of copy is
        ignored.
    level : int or level name, default None
        In case of a MultiIndex, only rename labels in the specified
        level.
    errors : {'ignore', 'raise'}, default 'ignore'
        If 'raise', raise a `KeyError` when a dict-like `mapper`, `index`,
        or `columns` contains labels that are not present in the Index
        being transformed.
        If 'ignore', existing keys will be renamed and extra keys will be
        ignored.

    Returns
    -------
    DataFrame
        DataFrame with the renamed axis labels.

    Raises
    ------
    KeyError
        If any of the labels is not found in the selected axis and
        "errors='raise'".

    See Also
    --------
    DataFrame.rename_axis : Set the name of the axis.

    Examples
    --------

    ``DataFrame.rename`` supports two calling conventions

    * ``(index=index_mapper, columns=columns_mapper, ...)``
    * ``(mapper, axis={'index', 'columns'}, ...)``

    We *highly* recommend using keyword arguments to clarify your
    intent.

    Rename columns using a mapping:

    >>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
    >>> df.rename(columns={"A": "a", "B": "c"})
       a  c
    0  1  4
    1  2  5
    2  3  6

    Rename index using a mapping:

    >>> df.rename(index={0: "x", 1: "y", 2: "z"})
       A  B
    x  1  4
    y  2  5
    z  3  6

    Cast index labels to a different type:

    >>> df.index
    RangeIndex(start=0, stop=3, step=1)
    >>> df.rename(index=str).index
    Index(['0', '1', '2'], dtype='object')

    >>> df.rename(columns={"A": "a", "B": "b", "C": "c"}, errors="raise")
    Traceback (most recent call last):
    KeyError: ['C'] not found in axis

    Using axis-style parameters

    >>> df.rename(str.lower, axis='columns')
       a  b
    0  1  4
    1  2  5
    2  3  6

    >>> df.rename({1: 2, 2: 4}, axis='index')
       A  B
    0  1  4
    2  2  5
    4  3  6
    """
    axes = validate_axis_style_args(self, args, kwargs, "mapper", "rename")
    kwargs.update(axes)
    # Pop these, since the values are in `kwargs` under different names
    kwargs.pop("axis", None)
    kwargs.pop("mapper", None)
    return super().rename(**kwargs)


# Traceback (TypeError)
df = pd.DataFrame([[1]])
df.rename({0: 1}, columns={0: 2}, axis=1)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/williamayd/clones/pandas/pandas/util/_decorators.py", line 235, in wrapper
return func(*args, **kwargs)
File "/Users/williamayd/clones/pandas/pandas/core/frame.py", line 4143, in rename
axes = validate_axis_style_args(self, args, kwargs, "mapper", "rename")
File "/Users/williamayd/clones/pandas/pandas/util/_validators.py", line 287, in validate_axis_style_args
raise TypeError(msg)
TypeError: Cannot specify both 'axis' and any of 'index' or 'columns'.

# Fixed code
def rename(
    self,
    mapper: Optional[Renamer] = None,
    *,
    index: Optional[Renamer] = None,
    columns: Optional[Renamer] = None,
    axis: Optional[Axis] = None,
    copy: bool = True,
    inplace: bool = False,
    level: Optional[Level] = None,
    errors: str = "ignore",
) -> Optional["DataFrame"]:
    """
    Alter axes labels.

    Function / dict values must be unique (1-to-1). Labels not contained in
    a dict / Series will be left as-is. Extra labels listed don't throw an
    error.

    See the :ref:`user guide <basics.rename>` for more.

    Parameters
    ----------
    mapper : dict-like or function
        Dict-like or functions transformations to apply to
        that axis' values. Use either ``mapper`` and ``axis`` to
        specify the axis to target with ``mapper``, or ``index`` and
        ``columns``.
    index : dict-like or function
        Alternative to specifying axis (``mapper, axis=0``
        is equivalent to ``index=mapper``).
    columns : dict-like or function
        Alternative to specifying axis (``mapper, axis=1``
        is equivalent to ``columns=mapper``).
    axis : int or str
        Axis to target with ``mapper``. Can be either the axis name
        ('index', 'columns') or number (0, 1). The default is 'index'.
    copy : bool, default True
        Also copy underlying data.
    inplace : bool, default False
        Whether to return a new DataFrame. If True then value of copy is
        ignored.
    level : int or level name, default None
        In case of a MultiIndex, only rename labels in the specified
        level.
    errors : {'ignore', 'raise'}, default 'ignore'
        If 'raise', raise a `KeyError` when a dict-like `mapper`, `index`,
        or `columns` contains labels that are not present in the Index
        being transformed.
        If 'ignore', existing keys will be renamed and extra keys will be
        ignored.

    Returns
    -------
    DataFrame
        DataFrame with the renamed axis labels.

    Raises
    ------
    KeyError
        If any of the labels is not found in the selected axis and
        "errors='raise'".

    See Also
    --------
    DataFrame.rename_axis : Set the name of the axis.

    Examples
    --------

    ``DataFrame.rename`` supports two calling conventions

    * ``(index=index_mapper, columns=columns_mapper, ...)``
    * ``(mapper, axis={'index', 'columns'}, ...)``

    We *highly* recommend using keyword arguments to clarify your
    intent.

    Rename columns using a mapping:

    >>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
    >>> df.rename(columns={"A": "a", "B": "c"})
       a  c
    0  1  4
    1  2  5
    2  3  6

    Rename index using a mapping:

    >>> df.rename(index={0: "x", 1: "y", 2: "z"})
       A  B
    x  1  4
    y  2  5
    z  3  6

    Cast index labels to a different type:

    >>> df.index
    RangeIndex(start=0, stop=3, step=1)
    >>> df.rename(index=str).index
    Index(['0', '1', '2'], dtype='object')

    >>> df.rename(columns={"A": "a", "B": "b", "C": "c"}, errors="raise")
    Traceback (most recent call last):
    KeyError: ['C'] not found in axis

    Using axis-style parameters

    >>> df.rename(str.lower, axis='columns')
       a  b
    0  1  4
    1  2  5
    2  3  6

    >>> df.rename({1: 2, 2: 4}, axis='index')
       A  B
    0  1  4
    2  2  5
    4  3  6
    """
    return super().rename(
        mapper=mapper,
        index=index,
        columns=columns,
        axis=axis,
        copy=copy,
        inplace=inplace,
        level=level,
        errors=errors,
    )