pandas.core.groupby.GroupBy.rank
- GroupBy.rank(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:bool, 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:bool, 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
-
Apply a function groupby to a Series.
DataFrame.groupby
-
Apply a function groupby to each row or column of a DataFrame.
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.core.groupby.GroupBy.rank.html