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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 Array or minimum along an axis. See Also -------- numpy.ndarray.min Index.min : Return the minimum value in an Index. Series.min : Return the minimum value in a Series. """

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

        result = nanops.nanmin(self.asi8, skipna=skipna, mask=self.isna())
        if isna(result):
            # Period._from_ordinal does not handle np.nan gracefully
            return NaT
        return self._box_func(result)