GroupBy.ohlc()

Grouper.groups

DataFrameGroupBy.count()

DataFrameGroupBy.idxmax(axis=0, skipna=True) Return index of first occurrence of maximum over requested

SeriesGroupBy.nunique(dropna=True)

DataFrameGroupBy.tshift(periods=1, freq=None, axis=0) Shift the time index, using the index?s frequency

GroupBy.aggregate(func, *args, **kwargs)

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

GroupBy.indices dict {group name -> group indices}

GroupBy.__iter__()