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# pandas.Series.rank

`Series.``rank`(method='average', na_option='keep', ascending=True, pct=False)

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

  Parameters : | 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 na_option : {‘keep’} keep: leave NA values where they are ascending : boolean, default True False for ranks by high (1) to low (N) pct : boolean, default False Computes percentage rank of data
  Returns : | ranks : Series

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