<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def max(self, axis=None, skipna=True, *args, **kwargs):
 """ Return the maximum value of the Index or maximum along an axis. See Also -------- numpy.ndarray.max Series.max : Return the maximum value in a Series. """

        nv.validate_max(args, kwargs)
        nv.validate_minmax_axis(axis)

        if not len(self):
            return self._na_value

        i8 = self.asi8
        try:
            # quick check
            if len(i8) and self.is_monotonic:
                if i8[-1] != iNaT:
                    return self._box_func(i8[-1])

            if self.hasnans:
                if skipna:
                    max_stamp = self[~self._isnan].asi8.max()
                else:
                    return self._na_value
            else:
                max_stamp = i8.max()
            return self._box_func(max_stamp)
        except ValueError:
            return self._na_value