Format an array for printing.

    Parameters
    ----------
    values
    formatter
    float_format
    na_rep
    digits
    space
    justify
    decimal
    leading_space : bool, optional
        Whether the array should be formatted with a leading space.
        When an array as a column of a Series or DataFrame, we do want
        the leading space to pad between columns.

        When formatting an Index subclass
        (e.g. IntervalIndex._format_native_types), we don't want the
        leading space since it should be left-aligned.

    Returns
    -------
    List[str]

def format_array(values, formatter, float_format=None, na_rep='NaN',
                 digits=None, space=None, justify='right', decimal='.',
                 leading_space=None):
    """
    Format an array for printing.

    Parameters
    ----------
    values
    formatter
    float_format
    na_rep
    digits
    space
    justify
    decimal
    leading_space : bool, optional
        Whether the array should be formatted with a leading space.
        When an array as a column of a Series or DataFrame, we do want
        the leading space to pad between columns.

        When formatting an Index subclass
        (e.g. IntervalIndex._format_native_types), we don't want the
        leading space since it should be left-aligned.

    Returns
    -------
    List[str]
    """

    if is_datetime64_dtype(values.dtype):
        fmt_klass = Datetime64Formatter
    elif is_datetime64tz_dtype(values):
        fmt_klass = Datetime64TZFormatter
    elif is_timedelta64_dtype(values.dtype):
        fmt_klass = Timedelta64Formatter
    elif is_extension_array_dtype(values.dtype):
        fmt_klass = ExtensionArrayFormatter
    elif is_float_dtype(values.dtype) or is_complex_dtype(values.dtype):
        fmt_klass = FloatArrayFormatter
    elif is_integer_dtype(values.dtype):
        fmt_klass = IntArrayFormatter
    else:
        fmt_klass = GenericArrayFormatter

    if space is None:
        space = get_option("display.column_space")

    if float_format is None:
        float_format = get_option("display.float_format")

    if digits is None:
        digits = get_option("display.precision")

    fmt_obj = fmt_klass(values, digits=digits, na_rep=na_rep,
                        float_format=float_format, formatter=formatter,
                        space=space, justify=justify, decimal=decimal,
                        leading_space=leading_space)

    return fmt_obj.get_result()