GroupBy.sem(ddof=1)
GroupBy.var(ddof=1, *args, **kwargs)
GroupBy.nth(n, dropna=None)
GroupBy.median()
DataFrameGroupBy.shift(periods=1, freq=None, axis=0)
DataFrameGroupBy.resample(rule, *args, **kwargs)
SeriesGroupBy.unique() Return np.ndarray of unique values in the object. Significantly faster than numpy
DataFrameGroupBy.fillna(value=None, method=None, axis=None, inplace=False, limit=None, downcast=None, **kwargs)
DataFrameGroupBy.cov(min_periods=None) Compute pairwise covariance of columns, excluding NA/null values
GroupBy.groups dict {group name -> group labels}
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