# 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

  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`

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