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# pandas.DataFrame.rank

`DataFrame.``rank`(axis=0, numeric_only=None, method='average', na_option='keep', ascending=True)

  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, 1}, default 0 Ranks over columns (0) or rows (1) numeric_only : boolean, default None Include only float, int, boolean data method : {‘average’, ‘min’, ‘max’, ‘first’} 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 na_option : {‘keep’, ‘top’, ‘bottom’} keep: leave NA values where they are top: smallest rank if ascending bottom: smallest rank if descending ascending : boolean, default True False for ranks by high (1) to low (N)
  Returns : | ranks : DataFrame

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