# Buggy code
def rename(self, index=None, **kwargs):
    """
    Alter Series index labels or name.

    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.

    Alternatively, change ``Series.name`` with a scalar value.

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

    Parameters
    ----------
    index : scalar, hashable sequence, dict-like or function, optional
        Functions or dict-like are transformations to apply to
        the index.
        Scalar or hashable sequence-like will alter the ``Series.name``
        attribute.

    **kwargs
        Additional keyword arguments passed to the function. Only the
        "inplace" keyword is used.

    Returns
    -------
    Series
        Series with index labels or name altered.

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

    Examples
    --------
    >>> s = pd.Series([1, 2, 3])
    >>> s
    0    1
    1    2
    2    3
    dtype: int64
    >>> s.rename("my_name")  # scalar, changes Series.name
    0    1
    1    2
    2    3
    Name: my_name, dtype: int64
    >>> s.rename(lambda x: x ** 2)  # function, changes labels
    0    1
    1    2
    4    3
    dtype: int64
    >>> s.rename({1: 3, 2: 5})  # mapping, changes labels
    0    1
    3    2
    5    3
    dtype: int64
    """
    kwargs["inplace"] = validate_bool_kwarg(kwargs.get("inplace", False), "inplace")

    if callable(index) or is_dict_like(index):
        return super().rename(index=index, **kwargs)
    else:
        return self._set_name(index, inplace=kwargs.get("inplace"))


# 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,
    index=None,
    *,
    axis=None,
    copy=True,
    inplace=False,
    level=None,
    errors="ignore",
):
    """
    Alter Series index labels or name.

    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.

    Alternatively, change ``Series.name`` with a scalar value.

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

    Parameters
    ----------
    axis : {0 or "index"}
        Unused. Accepted for compatability with DataFrame method only.
    index : scalar, hashable sequence, dict-like or function, optional
        Functions or dict-like are transformations to apply to
        the index.
        Scalar or hashable sequence-like will alter the ``Series.name``
        attribute.

    **kwargs
        Additional keyword arguments passed to the function. Only the
        "inplace" keyword is used.

    Returns
    -------
    Series
        Series with index labels or name altered.

    See Also
    --------
    DataFrame.rename : Corresponding DataFrame method.
    Series.rename_axis : Set the name of the axis.

    Examples
    --------
    >>> s = pd.Series([1, 2, 3])
    >>> s
    0    1
    1    2
    2    3
    dtype: int64
    >>> s.rename("my_name")  # scalar, changes Series.name
    0    1
    1    2
    2    3
    Name: my_name, dtype: int64
    >>> s.rename(lambda x: x ** 2)  # function, changes labels
    0    1
    1    2
    4    3
    dtype: int64
    >>> s.rename({1: 3, 2: 5})  # mapping, changes labels
    0    1
    3    2
    5    3
    dtype: int64
    """
    if callable(index) or is_dict_like(index):
        return super().rename(
            index, copy=copy, inplace=inplace, level=level, errors=errors
        )
    else:
        return self._set_name(index, inplace=inplace)