DataFrameGroupBy.rank()
pandas.core.groupby.DataFrameGroupBy.rank
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DataFrameGroupBy.rank(axis=0, method='average', numeric_only=None, na_option='keep', ascending=True, pct=False)
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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