DataFrameGroupBy.any(axis=None, bool_only=None, skipna=None, level=None, **kwargs) Return whether any

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

DataFrameGroupBy.resample(rule, *args, **kwargs)

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

GroupBy.median()

DataFrameGroupBy.fillna(value=None, method=None, axis=None, inplace=False, limit=None, downcast=None, **kwargs)

GroupBy.size()

GroupBy.head(n=5)

DataFrameGroupBy.cov(min_periods=None) Compute pairwise covariance of columns, excluding NA/null values

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