DataFrameGroupBy.fillna(value=None, method=None, axis=None, inplace=False, limit=None, downcast=None, **kwargs)
SeriesGroupBy.unique() Return np.ndarray of unique values in the object. Significantly faster than numpy
SeriesGroupBy.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)
DataFrameGroupBy.any(axis=None, bool_only=None, skipna=None, level=None, **kwargs) Return whether any
GroupBy.sem(ddof=1)
DataFrameGroupBy.mad(axis=None, skipna=None, level=None) Return the mean absolute deviation of the values
DataFrameGroupBy.idxmax(axis=0, skipna=True) Return index of first occurrence of maximum over requested
DataFrameGroupBy.plot Class implementing the .plot attribute for groupby objects
DataFrameGroupBy.tshift(periods=1, freq=None, axis=0) Shift the time index, using the index?s frequency
Grouper.groups
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