MultiIndex.name = None

GroupBy.head(n=5)

SeriesGroupBy.unique() Return np.ndarray of unique values in the object. Significantly faster than numpy

Panel.pct_change(periods=1, fill_method='pad', limit=None, freq=None, **kwargs)

Index.argsort(*args, **kwargs)

pandas.to_datetime(*args, **kwargs)

CategoricalIndex.all(other=None)

TimedeltaIndex.is_lexsorted_for_tuple(tup)

MultiIndex.is_floating()

Index.all(*args, **kwargs)