DataFrameGroupBy.hist(data, column=None, by=None, grid=True, xlabelsize=None, xrot=None, ylabelsize=None, yrot=None, ax=None

DataFrameGroupBy.bfill(limit=None)

DataFrameGroupBy.cumsum(axis=0, *args, **kwargs)

SeriesGroupBy.nlargest(*args, **kwargs)

DataFrameGroupBy.quantile(q=0.5, axis=0, numeric_only=True, interpolation='linear') Return values

DataFrameGroupBy.describe(percentiles=None, include=None, exclude=None) Generate various summary

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

GroupBy.mean(*args, **kwargs)

GroupBy.get_group(name, obj=None)

DataFrameGroupBy.size()