def str_get(arr, i):
    """
    Extract element from each component at specified position.

    Extract element from lists, tuples, or strings in each element in the
    Series/Index.

    Parameters
    ----------
    i : int
        Position of element to extract.

    Returns
    -------
    Series or Index

    Examples
    --------
    >>> s = pd.Series(["String",
    ...               (1, 2, 3),
    ...               ["a", "b", "c"],
    ...               123,
    ...               -456,
    ...               {1: "Hello", "2": "World"}])
    >>> s
    0                        String
    1                     (1, 2, 3)
    2                     [a, b, c]
    3                           123
    4                          -456
    5    {1: 'Hello', '2': 'World'}
    dtype: object

    >>> s.str.get(1)
    0        t
    1        2
    2        b
    3      NaN
    4      NaN
    5    Hello
    dtype: object

    >>> s.str.get(-1)
    0      g
    1      3
    2      c
    3    NaN
    4    NaN
    5    None
    dtype: object
    """
    def f(x):
        if isinstance(x, dict):
            return x.get(i)
        elif len(x) > i >= -len(x):
            return x[i]
        return np.nan
    return _na_map(f, arr)
Extract element from each component at specified position.

    Extract element from lists, tuples, or strings in each element in the
    Series/Index.

    Parameters
    ----------
    i : int
        Position of element to extract.

    Returns
    -------
    Series or Index

    Examples
    --------
    >>> s = pd.Series(["String",
    ...               (1, 2, 3),
    ...               ["a", "b", "c"],
    ...               123,
    ...               -456,
    ...               {1: "Hello", "2": "World"}])
    >>> s
    0                        String
    1                     (1, 2, 3)
    2                     [a, b, c]
    3                           123
    4                          -456
    5    {1: 'Hello', '2': 'World'}
    dtype: object

    >>> s.str.get(1)
    0        t
    1        2
    2        b
    3      NaN
    4      NaN
    5    Hello
    dtype: object

    >>> s.str.get(-1)
    0      g
    1      3
    2      c
    3    NaN
    4    NaN
    5    None
    dtype: object