GroupBy.nth(n, dropna=None)

GroupBy.groups dict {group name -> group labels}

SeriesGroupBy.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)

GroupBy.head(n=5)

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

GroupBy.sem(ddof=1)

GroupBy.var(ddof=1, *args, **kwargs)

GroupBy.median()

DataFrameGroupBy.shift(periods=1, freq=None, axis=0)

GroupBy.size()