Return results from array_strptime if a %z or %Z directive was passed.

    Parameters
    ----------
    result : ndarray
        int64 date representations of the dates
    timezones : ndarray
        pytz timezone objects
    box : boolean
        True boxes result as an Index-like, False returns an ndarray
    tz : object
        None or pytz timezone object
    name : string, default None
        Name for a DatetimeIndex

    Returns
    -------
    tz_result : ndarray of parsed dates with timezone
        Returns:

        - Index-like if box=True
        - ndarray of Timestamps if box=False

def _return_parsed_timezone_results(result, timezones, box, tz, name):
    """
    Return results from array_strptime if a %z or %Z directive was passed.

    Parameters
    ----------
    result : ndarray
        int64 date representations of the dates
    timezones : ndarray
        pytz timezone objects
    box : boolean
        True boxes result as an Index-like, False returns an ndarray
    tz : object
        None or pytz timezone object
    name : string, default None
        Name for a DatetimeIndex

    Returns
    -------
    tz_result : ndarray of parsed dates with timezone
        Returns:

        - Index-like if box=True
        - ndarray of Timestamps if box=False

    """
    if tz is not None:
        raise ValueError("Cannot pass a tz argument when "
                         "parsing strings with timezone "
                         "information.")
    tz_results = np.array([Timestamp(res).tz_localize(zone) for res, zone
                           in zip(result, timezones)])
    if box:
        from pandas import Index
        return Index(tz_results, name=name)
    return tz_results