pandas.Series.rank

Series.rank(axis=0, method='average', numeric_only=None, na_option='keep', ascending=True, pct=False) [source]

Compute numerical data ranks (1 through n) along axis. Equal values are assigned a rank that is the average of the ranks of those values.

Parameters:

axis : {0 or ‘index’, 1 or ‘columns’}, default 0 index to direct ranking method : {‘average’, ‘min’, ‘max’, ‘first’, ‘dense’} 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 numeric_only : boolean, default None Include only float, int, boolean data. Valid only for DataFrame or Panel objects na_option : {‘keep’, ‘top’, ‘bottom’} keep: leave NA values where they are top: smallest rank if ascending bottom: smallest rank if descending ascending : boolean, default True False for ranks by high (1) to low (N) pct : boolean, default False Computes percentage rank of data

Returns:

ranks : same type as caller