pandas.core.groupby.GroupBy.rank

GroupBy.rank(self, method='average', ascending=True, na_option='keep', pct=False, axis=0) [source]

Provide the rank of values within each group.

Parameters:

method : {‘average’, ‘min’, ‘max’, ‘first’, ‘dense’}, default ‘average’ average: average rank of group min: lowest rank in group max: highest rank in group first: ranks assigned in order they appear in the array dense: like ‘min’, but rank always increases by 1 between groups ascending : boolean, default True False for ranks by high (1) to low (N) na_option : {‘keep’, ‘top’, ‘bottom’}, default ‘keep’ keep: leave NA values where they are top: smallest rank if ascending bottom: smallest rank if descending pct : boolean, default False Compute percentage rank of data within each group axis : int, default 0 The axis of the object over which to compute the rank.

Returns:

DataFrame with ranking of values within each group

See also

Series.groupby

DataFrame.groupby