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

        nv.validate_min(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[0] != iNaT:
                    return self._box_func(i8[0])

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