Series.str.replace(pat, repl, n=-1, case=True, flags=0)
Series.as_blocks(copy=True)
Series.ndim return the number of dimensions of the underlying data, by definition 1
Series.sort_index(axis=0, level=None, ascending=True, inplace=False, sort_remaining=True)
Series.str()
Series.is_unique Return boolean if values in the object are unique
Series.resample(rule, how=None, axis=0, fill_method=None, closed=None, label=None, convention='start', kind=None, loffset=None, limit=None
Series.str.zfill(width)
Series.quantile(q=0.5, interpolation='linear')
Series.add(other, level=None, fill_value=None, axis=0)
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