Series.mad(axis=None, skipna=None, level=None)

Series.all(axis=None, bool_only=None, skipna=None, level=None, **kwargs)

Series.__iter__()

Series.is_unique Return boolean if values in the object are unique

Series.get_values()

Series.idxmin(axis=None, skipna=True, *args, **kwargs)

Series.align(other, join='outer', axis=None, level=None, copy=True, fill_value=None, method=None, limit=None, fill_axis=0, broadcast_axis=None)

Series.str.isspace()

Series.nsmallest(*args, **kwargs)

Series.var(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)