def min(self, axis=None, skipna=True, *args, **kwargs):
nv.validate_min(args, kwargs)<EOL>nv.validate_minmax_axis(axis)<EOL>result = nanops.nanmin(self.asi8, skipna=skipna, mask=self.isna())<EOL>if isna(result):<EOL><INDENT>return NaT<EOL><DEDENT>return self._box_func(result)<EOL>
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.