pandas.core.groupby.DataFrameGroupBy.rank

DataFrameGroupBy.rank(method='average', ascending=True, na_option='keep', pct=False, axis=0)

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.

ascendingbool, 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.

pctbool, default False

Compute percentage rank of data within each group.

axisint, 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

Apply a function groupby to a Series.

DataFrame.groupby

Apply a function groupby to each row or column of a DataFrame.

pandas.core.groupby.DataFrameGroupBy.quantile pandas.core.groupby.DataFrameGroupBy.resample