Series.rank()

Series.rank(axis=0, method='average', numeric_only=None, na_option='keep', ascending=True, pct=False) [source]

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 assigned in order they appear in the array
  • dense: like ?min?, but rank always increases by 1 between groups

numeric_only : boolean, default None

Include only float, int, boolean data. Valid only for DataFrame or Panel objects

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)

pct : boolean, default False

Computes percentage rank of data

Returns:

ranks : same type as caller

doc_Pandas
2017-01-12 04:54:31
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