Series.str.rstrip(to_strip=None)
Series.ndim return the number of dimensions of the underlying data, by definition 1
Series.str()
Series.itemsize return the size of the dtype of the item of the underlying data
Series.where(cond, other=nan, inplace=False, axis=None, level=None, try_cast=False, raise_on_error=True)
Series.dt.month The month as January=1, December=12
Series.nonzero()
Series.at_time(time, asof=False)
Series.view(dtype=None)
Series.autocorr(lag=1)
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