DatetimeIndex.ndim return the number of dimensions of the underlying data, by definition 1

MultiIndex.identical(other)

DataFrameGroupBy.rank(axis=0, method='average', numeric_only=None, na_option='keep', ascending=True, pct=False)

Series.get_values()

DataFrame.append(other, ignore_index=False, verify_integrity=False)

TimedeltaIndex.argmin(axis=None, *args, **kwargs)

TimedeltaIndex.rename(name, inplace=False)

Resampler.count(_method='count')

TimedeltaIndex.isin(values)

DataFrame.__iter__()