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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):
 """ Return the minimum value of the Index. Parameters axis : {None} Dummy argument for consistency with Series skipna : bool, default True Returns ------- scalar Minimum value. See Also -------- Index.max : Return the maximum value of the object. Series.min : Return the minimum value in a Series. DataFrame.min : Return the minimum values in a DataFrame. Examples -------- 1 'a' For a MultiIndex, the minimum is determined lexicographically. ('a', 1) """

        nv.validate_minmax_axis(axis)
        return nanops.nanmin(self._values, skipna=skipna)